Triple

T13764055
Position Surface form Disambiguated ID Type / Status
Subject Grinnell Glacier E330689 entity
Predicate partOf P40 FINISHED
Object Glacier National Park glacier monitoring program
The Glacier National Park glacier monitoring program is a long-term scientific initiative that tracks and analyzes the size, health, and retreat of the park’s glaciers to understand climate change impacts.
E1059380 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Glacier National Park glacier monitoring program | Statement: [Grinnell Glacier, partOf, Glacier National Park glacier monitoring program]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Glacier National Park glacier monitoring program
Context triple: [Grinnell Glacier, partOf, Glacier National Park glacier monitoring program]
  • A. Swiss Glacier Monitoring Network
    The Swiss Glacier Monitoring Network is a scientific program in Switzerland that systematically observes and documents the state and evolution of the country’s glaciers.
  • B. Coastal mountain glaciers of Alaska
    Coastal mountain glaciers of Alaska are a vast system of ice masses flowing from rugged coastal mountain ranges into fjords and the Gulf of Alaska, playing a major role in regional climate, sea level contributions, and Alaska’s dramatic glaciated landscapes.
  • C. Glaciers of Snohomish County, Washington
    The Glaciers of Snohomish County, Washington are a collection of mountain glaciers in the North Cascades that significantly influence the region’s hydrology, landscape, and alpine ecosystems.
  • D. Mount Rainier National Park glacial system
    The Mount Rainier National Park glacial system is the extensive network of glaciers and perennial snowfields radiating from Mount Rainier, forming one of the largest and most studied alpine glacial complexes in the contiguous United States.
  • E. Te Anau Basin glacial system
    The Te Anau Basin glacial system is a major Pleistocene glacial landscape in Fiordland, New Zealand, whose ice carved the surrounding fiords, valleys, and basins including those around Lake Te Anau.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Glacier National Park glacier monitoring program
Triple: [Grinnell Glacier, partOf, Glacier National Park glacier monitoring program]
Generated description
The Glacier National Park glacier monitoring program is a long-term scientific initiative that tracks and analyzes the size, health, and retreat of the park’s glaciers to understand climate change impacts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Glacier National Park glacier monitoring program
Target entity description: The Glacier National Park glacier monitoring program is a long-term scientific initiative that tracks and analyzes the size, health, and retreat of the park’s glaciers to understand climate change impacts.
  • A. Swiss Glacier Monitoring Network
    The Swiss Glacier Monitoring Network is a scientific program in Switzerland that systematically observes and documents the state and evolution of the country’s glaciers.
  • B. Coastal mountain glaciers of Alaska
    Coastal mountain glaciers of Alaska are a vast system of ice masses flowing from rugged coastal mountain ranges into fjords and the Gulf of Alaska, playing a major role in regional climate, sea level contributions, and Alaska’s dramatic glaciated landscapes.
  • C. Glaciers of Snohomish County, Washington
    The Glaciers of Snohomish County, Washington are a collection of mountain glaciers in the North Cascades that significantly influence the region’s hydrology, landscape, and alpine ecosystems.
  • D. Mount Rainier National Park glacial system
    The Mount Rainier National Park glacial system is the extensive network of glaciers and perennial snowfields radiating from Mount Rainier, forming one of the largest and most studied alpine glacial complexes in the contiguous United States.
  • E. Te Anau Basin glacial system
    The Te Anau Basin glacial system is a major Pleistocene glacial landscape in Fiordland, New Zealand, whose ice carved the surrounding fiords, valleys, and basins including those around Lake Te Anau.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d81c583b0081909e408a17db517a21 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de022690ac8190bd5410ecc659a2a7 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7a862e6808190b8fbb27304212058 completed May 3, 2026, 7:56 p.m.
NEDg Description generation batch_69f7aa2a6370819097206cc0967fe5c5 completed May 3, 2026, 8:03 p.m.
NED2 Entity disambiguation (via description) batch_69f7aaa0e90c8190877490a2b941cb6b completed May 3, 2026, 8:05 p.m.
Created at: April 9, 2026, 10:10 p.m.