Triple

T36581937
Position Surface form Disambiguated ID Type / Status
Subject Richmond County E902418 entity
Predicate populationRankAmongNYCBoroughs P70904 FINISHED
Object least populous 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: least populous | Statement: [Richmond County, populationRankAmongNYCBoroughs, least populous]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: populationRankAmongNYCBoroughs
Context triple: [Richmond County, populationRankAmongNYCBoroughs, least populous]
  • A. geographicRankAmongNYCBoroughs
    Indicates the relative positional order of a New York City borough when all five boroughs are ranked by a specified geographic criterion (e.g., size, location, or extent).
  • B. rankByPopulationInNYC chosen
    Indicates the relative ordering of entities based on the size of their populations within New York City.
  • C. largestBoroughByPopulationOf
    Indicates that one entity is the borough with the highest population within the other entity (typically a city or region).
  • D. haveMostDenselyPopulatedBorough
    Indicates that one entity possesses the borough with the highest population density compared to other boroughs in a given context.
  • E. positionInBorough
    Indicates that one entity is located within or belongs to the geographic area of a specific borough.
  • 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_69f76e64d8908190868473959a250b94 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69fd7fdafbe881908a31fcb407af2c34 completed May 8, 2026, 6:16 a.m.
PD Predicate disambiguation batch_69fd7ef0ea908190b5d83f71565bdb1c completed May 8, 2026, 6:13 a.m.
Created at: May 3, 2026, 4:11 p.m.