Triple

T1941981
Position Surface form Disambiguated ID Type / Status
Subject Feldspar Brook E41574 entity
Predicate near P350 FINISHED
Object Mount Marcy E162767 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: Mount Marcy | Statement: [Feldspar Brook, near, Mount Marcy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Marcy
Context triple: [Feldspar Brook, near, Mount Marcy]
  • A. Mount Marcy chosen
    Mount Marcy is the tallest mountain in New York State, located in the Adirondack Mountains and popular with hikers and outdoor enthusiasts.
  • B. Bear Mountain
    Bear Mountain is a prominent peak in New York's Hudson Highlands, known for its scenic views, hiking trails, and proximity to the Hudson River.
  • C. Mount Kisco, New York
    Mount Kisco, New York, is a small suburban village and town in the Hudson Valley region that serves as a commercial and residential hub in northern Westchester County.
  • D. Storm King Mountain
    Storm King Mountain is a prominent peak along the Hudson River in New York, known for its scenic views, hiking trails, and historic role in the early U.S. environmental conservation movement.
  • E. Mount Washington
    Mount Washington is a small, rural hilltown in southwestern Massachusetts known for its high elevation, extensive forests, and proximity to the Taconic Mountains and state parks.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69a88649b24c819080047f26b6db2ded completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb2fc98e881909a539c0ebf842d8b completed March 7, 2026, 5:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69adf3fa84e48190bac4d96aa3c3ec39 completed March 8, 2026, 10:11 p.m.
Created at: March 4, 2026, 7:36 p.m.