Triple

T3848
Position Surface form Disambiguated ID Type / Status
Subject Hudson River E73 entity
Predicate flowsThrough P225 FINISHED
Object Troy, New York E9078 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: Troy, New York | Statement: [Hudson River, flowsThrough, Troy, New York]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Troy, New York
Context triple: [Hudson River, flowsThrough, Troy, New York]
  • A. Troy, New York, United States chosen
    Troy is a historic industrial city in upstate New York, known for its 19th-century architecture and as the home of Rensselaer Polytechnic Institute.
  • B. Albany
    Albany is the capital city of the U.S. state of New York, known as a historic political and cultural center in the northeastern United States.
  • C. Brooklyn
    Brooklyn is a populous and culturally diverse borough of New York City known for its distinct neighborhoods, arts scene, and iconic landmarks like the Brooklyn Bridge.
  • D. The Bronx
    The Bronx is one of the five boroughs of New York City, known as the birthplace of hip-hop and home to Yankee Stadium and the Bronx Zoo.
  • E. West Point, New York
    West Point, New York is a historic Hudson River town best known as the site of the United States Military Academy, one of the nation’s premier officer training institutions.
  • 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_69a238d6b47881909e68288aed2fd858 completed Feb. 28, 2026, 12:37 a.m.
NER Named-entity recognition batch_69a23ff0650c8190bea8724de0343e58 completed Feb. 28, 2026, 1:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69a29172b5b4819080efd4fe0d9658c6 completed Feb. 28, 2026, 6:55 a.m.
Created at: Feb. 28, 2026, 12:40 a.m.