Triple

T15014448
Position Surface form Disambiguated ID Type / Status
Subject Belmont family E377921 entity
Predicate region P40 FINISHED
Object New York E550 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: New York | Statement: [Belmont family, region, New York]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: New York
Context triple: [Belmont family, region, New York]
  • A. New York chosen
    New York is a populous and economically significant U.S. state known for New York City, a global center of finance, culture, and media.
  • B. New York New York
    "New York New York" is a socially conscious hip-hop track by Melle Mel that vividly portrays the struggles and realities of life in New York City.
  • C. New York City
    New York City is the largest city in the United States, a global center of finance, culture, media, and technology.
  • D. Washington, New York
    Washington, New York is a rural town in Dutchess County known for its historic hamlet of Millbrook, scenic landscapes, and equestrian and agricultural heritage.
  • E. NYC
    NYC is a historic American railroad company that operated major passenger and freight services across the northeastern and midwestern United States.
  • 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_69d85cd3a3c881908c71fc424d459c17 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7623c3c819092ca36b358b01842 completed April 15, 2026, 12:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69feae048fa08190ba5719ca9868b50d completed May 9, 2026, 3:46 a.m.
Created at: April 10, 2026, 2:55 a.m.