Triple

T9645616
Position Surface form Disambiguated ID Type / Status
Subject Fairview E233186 entity
Predicate locatedIn P40 FINISHED
Object Camden E44834 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: Camden | Statement: [Fairview, locatedIn, Camden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Camden
Context triple: [Fairview, locatedIn, Camden]
  • A. Camden
    Camden is a vibrant inner borough of London known for its alternative culture, markets, live music venues, and canalside atmosphere.
  • B. Camden chosen
    Camden is a city in New Jersey located directly across the Delaware River from Philadelphia, known historically as an industrial hub and for its proximity to the larger Philadelphia metropolitan area.
  • C. Newark
    Newark is a small suburban city in California’s San Francisco Bay Area, located near the southern end of the East Bay.
  • D. Newark
    Newark is a major city in northern New Jersey known for its historic significance, diverse communities, and role as a cultural and transportation hub in the New York metropolitan area.
  • E. Newark
    Newark was the early colonial town that served as the first capital of Upper Canada, located at the mouth of the Niagara River (now known as Niagara-on-the-Lake, Ontario).
  • 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_69ca848b31648190b57aa55da20285be completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9b8122148190bd0af3a04b21e53e completed April 1, 2026, 10:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69d23cc145f4819093761be39ad9214e completed April 5, 2026, 10:43 a.m.
Created at: March 30, 2026, 8:12 p.m.