Triple

T2972772
Position Surface form Disambiguated ID Type / Status
Subject New York state politics E80318 entity
Predicate hasMajorCityPowerCenter P164 FINISHED
Object New York City politics LITERAL 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 City politics | Statement: [New York state politics, hasMajorCityPowerCenter, New York City politics]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMajorCityPowerCenter
Context triple: [New York state politics, hasMajorCityPowerCenter, New York City politics]
  • A. hasMajorCity
    Indicates that a location possesses at least one city of significant size, importance, or influence within its region or country.
  • B. isMajorCenterOf chosen
    Indicates that a place serves as a primary hub or focal point for a particular activity, function, or domain.
  • C. hasMajorCityRole
    Indicates that an entity plays a significant official or functional role in the governance, administration, or key operations of a major city.
  • D. capitalOrMajorCenter
    Indicates that a location serves as a capital city or a primary major center (political, economic, or cultural hub) for a larger region or entity.
  • E. majorPopulationCenter
    Indicates that a location functions as a primary hub of population concentration and activity within a region.
  • F. None of above.

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_69ad8b14ffe881908ffed62f9595c867 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad998656948190ba79d7196d735f34 completed March 8, 2026, 3:45 p.m.
PD Predicate disambiguation batch_69ad96105a708190a9ec4838cbcb1207 completed March 8, 2026, 3:30 p.m.
Created at: March 8, 2026, 2:58 p.m.