Triple

T9645620
Position Surface form Disambiguated ID Type / Status
Subject Fairview E233186 entity
Predicate partOf P40 FINISHED
Object City of 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: City of Camden | Statement: [Fairview, partOf, City of Camden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Camden
Context triple: [Fairview, partOf, City of Camden]
  • A. Town of Camden
    The Town of Camden is a small historic municipality in central Delaware, located just south of the state capital, Dover.
  • B. Camden
    Camden is a vibrant inner borough of London known for its alternative culture, markets, live music venues, and canalside atmosphere.
  • C. 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.
  • D. North Camden
    North Camden is a predominantly residential neighborhood in the northern part of Camden, New Jersey, known for its historic rowhouses and ongoing community revitalization efforts.
  • E. Camden Markets
    Camden Markets is a famous collection of alternative and eclectic markets in Camden Town, London, known for its vintage fashion, street food, crafts, and vibrant subcultural atmosphere.
  • 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_69d18a00a87081909d1e59aa7192a69c completed April 4, 2026, 10 p.m.
Created at: March 30, 2026, 8:12 p.m.