Triple

T3312539
Position Surface form Disambiguated ID Type / Status
Subject Passaic County, New Jersey E69605 entity
Predicate contains P35 FINISHED
Object Paterson, New Jersey E19335 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: Paterson, New Jersey | Statement: [Passaic County, New Jersey, contains, Paterson, New Jersey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paterson, New Jersey
Context triple: [Passaic County, New Jersey, contains, Paterson, New Jersey]
  • A. Paterson, New Jersey chosen
    Paterson, New Jersey is a historic industrial city in northern New Jersey known for its diverse immigrant communities, including a significant Dutch American presence.
  • B. Paterson
    Paterson is a Scottish-origin surname borne by various notable individuals across politics, law, sports, and the arts.
  • C. Paterson
    Paterson is an Australian federal electoral division in New South Wales, represented in the national Parliament.
  • D. Passaic, New Jersey
    Passaic, New Jersey is a densely populated city in Passaic County known historically as an industrial and immigrant hub along the Passaic River in northern New Jersey.
  • E. Bloomfield, New Jersey
    Bloomfield, New Jersey is a suburban township in the New York City metropolitan area known for its residential neighborhoods, parks, and access to major transportation routes.
  • 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_69ad85a0bb048190a5458d2738012d61 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb0eddf488190b7f05b3903b96d4b completed March 8, 2026, 5:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69b65f07e50c8190be1d760f209c4aea completed March 15, 2026, 7:26 a.m.
Created at: March 8, 2026, 3:11 p.m.