Triple

T24241877
Position Surface form Disambiguated ID Type / Status
Subject Herman Knickerbocker E603249 entity
Predicate political territory represented P75093 FINISHED
Object New York NE NERFINISHED

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: [Herman Knickerbocker, political territory represented, New York]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: political territory represented
Context triple: [Herman Knickerbocker, political territory represented, New York]
  • A. politicalRegionRepresented chosen
    Indicates that one entity serves as the official political representative or governing body for a specified geographic or administrative region.
  • B. territoryRepresentation
    Indicates that one entity serves as a representation, model, or depiction of a specific territory or geographic area for another entity.
  • C. represented region
    Indicates that one entity serves as a symbolic or formal depiction of a specific geographic or spatial area.
  • D. continentOfRepresentation
    Indicates that one entity is the continent in which another entity is represented, based on its primary or official affiliation.
  • E. representedTerritories
    Indicates that one entity serves as the official representative or governing authority for certain territories or geographic areas.
  • 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_69e2953f631c819097cbb421046bd417 completed April 17, 2026, 8:17 p.m.
NER Named-entity recognition batch_69f28aa04fe08190922d6abde695571a completed April 29, 2026, 10:48 p.m.
PD Predicate disambiguation batch_69f1c448abec8190b87cbf9ed419a309 completed April 29, 2026, 8:41 a.m.
Created at: April 18, 2026, 12:03 a.m.