Triple

T2994835
Position Surface form Disambiguated ID Type / Status
Subject New York E81040 entity
Predicate isoCode P189 FINISHED
Object US-NY 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: US-NY | Statement: [New York, isoCode, US-NY]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: US-NY
Context triple: [New York, isoCode, US-NY]
  • A. Southeastern New York
    Southeastern New York is a region of the state encompassing suburban and semi-rural areas north of New York City, including parts of the lower Hudson Valley and nearby watersheds.
  • B. XNYS
    XNYS is the ISO 10383 Market Identifier Code (MIC) for the New York Stock Exchange, one of the largest and most influential stock exchanges in the world.
  • C. 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.
  • D. North East, New York
    North East, New York is a rural town in northeastern Dutchess County known for its agricultural landscape, small hamlets like Millerton, and proximity to the Connecticut and Massachusetts borders.
  • E. NYNH&H
    NYNH&H was a major railroad company in the northeastern United States that operated extensive passenger and freight services across New York, Connecticut, Rhode Island, and Massachusetts in the late 19th and early 20th centuries.
  • 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_69ad8b187fc8819085914d3c9ea3142d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad99f2e5888190b3346012e2578dab completed March 8, 2026, 3:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b10908cfe48190bf244d5a3dbc958b completed March 11, 2026, 6:17 a.m.
Created at: March 8, 2026, 2:59 p.m.