Triple

T36083280
Position Surface form Disambiguated ID Type / Status
Subject Northern Victoria Land E1043707 entity
Predicate contains P35 FINISHED
Object Admiralty Mountains
The Admiralty Mountains are a major rugged mountain range in Antarctica, known for their extensive glaciation and prominent peaks in northern Victoria Land.
 E2171231 NE FINISHED

How this triple was built (2 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: Admiralty Mountains | Statement: [Northern Victoria Land, contains, Admiralty Mountains]
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: Admiralty Mountains
Triple: [Northern Victoria Land, contains, Admiralty Mountains]
Generated description
The Admiralty Mountains are a major rugged mountain range in Antarctica, known for their extensive glaciation and prominent peaks in northern Victoria Land.

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_69f76e3154908190a6f702671c2bea08 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7b23fa75c819084c8d3fadebbae3d completed May 3, 2026, 8:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a390d37d1a081909bfd77a18b2a2eab completed June 22, 2026, 10:23 a.m.
NEDg Description generation batch_6a390e510fc8819084f001406a3a1ffe completed June 22, 2026, 10:28 a.m.
NED2 Entity disambiguation (via description) batch_6a390f2d062481908c4789fba5096e69 completed June 22, 2026, 10:32 a.m.
Created at: May 3, 2026, 4:08 p.m.