Triple

T2328087
Position Surface form Disambiguated ID Type / Status
Subject William Paterson E48335 entity
Predicate namesakeOf P63 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: [William Paterson, namesakeOf, Paterson, New Jersey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paterson, New Jersey
Context triple: [William Paterson, namesakeOf, 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_69a88aa308a88190b0b86c011fda7fce completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc64c7f1881909b0d847f7782e803 completed March 7, 2026, 6:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69b5e4aa62888190a5ef7a617b5ace8d completed March 14, 2026, 10:43 p.m.
Created at: March 4, 2026, 7:50 p.m.