Triple

T11622551
Position Surface form Disambiguated ID Type / Status
Subject Western New Jersey E276173 entity
Predicate contains P35 FINISHED
Object Warren County E381123 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: Warren County | Statement: [Western New Jersey, contains, Warren County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Warren County
Context triple: [Western New Jersey, contains, Warren County]
  • A. Warren County chosen
    Warren County is a largely rural county in northwestern New Jersey known for its small towns, farmland, and role as a residential area for commuters in the New York metropolitan region.
  • B. Warren County
    Warren County is a county-level jurisdiction in Kentucky that includes the city of Bowling Green and oversees various local public facilities and services.
  • C. Warren County
    Warren County is a county in western Mississippi known for its seat, the historic river city of Vicksburg, a key site in the American Civil War.
  • D. Warren County
    Warren County is a rural county in northwestern Pennsylvania known for its forests, outdoor recreation, and location along the Allegheny River.
  • E. Warren County
    Warren County is a county in northeastern New York State known for encompassing much of the Adirondack Mountains and popular tourist destinations such as Lake George.
  • 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_69d6aafa51148190ab84940694c00235 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a122a3708190ab6513dad4c4fde7 completed April 10, 2026, 7:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69f28092eb108190be203276e7dfa4b5 completed April 29, 2026, 10:05 p.m.
Created at: April 8, 2026, 9:39 p.m.