Triple

T15722207
Position Surface form Disambiguated ID Type / Status
Subject Warren County E381123 entity
Predicate contains P35 FINISHED
Object Hackettstown 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: Hackettstown | Statement: [Warren County, contains, Hackettstown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hackettstown
Context triple: [Warren County, contains, Hackettstown]
  • A. Hightstown
    Hightstown is a small borough in central New Jersey known for its historic downtown and residential community within Mercer County.
  • B. Hackettstown, New Jersey chosen
    Hackettstown, New Jersey is a small town in Warren County known for its historic downtown and as the home of a major Mars, Incorporated manufacturing facility.
  • C. Lindenwold
    Lindenwold is a borough in Camden County, New Jersey, known as a regional transportation hub with major rail connections including NJ Transit and the PATCO Speedline.
  • D. Moorestown Township
    Moorestown Township is a suburban community in southern New Jersey known for its historic downtown, affluent residential character, and proximity to Philadelphia.
  • E. Collingswood
    Collingswood is a suburban borough in Camden County, New Jersey, known for its walkable downtown, historic homes, and convenient rail access to Philadelphia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d86d9bf930819082b30cf6d169297c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04fb0b51081908e652ec4992296fa completed April 16, 2026, 2:55 a.m.
Created at: April 10, 2026, 4:45 a.m.