Triple

T10695098
Position Surface form Disambiguated ID Type / Status
Subject Hampstead Heath railway station E252114 entity
Predicate hasBorough P300 FINISHED
Object Camden E32857 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: [Hampstead Heath railway station, hasBorough, Camden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Camden
Context triple: [Hampstead Heath railway station, hasBorough, Camden]
  • A. Camden
    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.
  • B. Camden chosen
    Camden is a vibrant inner borough of London known for its alternative culture, markets, live music venues, and canalside atmosphere.
  • 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 city in northern Delaware known for being home to the University of Delaware and its vibrant college-town community.
  • E. 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.
  • 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_69d6aa5bd7c08190a816e733b4045c23 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fd39c3788190bb7cd0acf8b6efdd completed April 9, 2026, 1:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69e343ffc428819085599f251b7553e5 completed April 18, 2026, 8:42 a.m.
Created at: April 8, 2026, 9:11 p.m.