Triple

T8087000
Position Surface form Disambiguated ID Type / Status
Subject Route 4 (New Jersey) E188756 entity
Predicate passesThrough P225 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: [Route 4 (New Jersey), passesThrough, Paterson, New Jersey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paterson, New Jersey
Context triple: [Route 4 (New Jersey), passesThrough, 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 a town in South Africa’s Eastern Cape province, known as a small rural settlement and gateway to nearby game reserves and agricultural areas.
  • D. Paterson
    Paterson is an Australian federal electoral division in New South Wales, represented in the national Parliament.
  • E. Paterson
    Paterson is a long, modernist epic poem by William Carlos Williams that explores the life, landscape, and history of the city of Paterson, New Jersey.
  • 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_69ca82b662e88190b9323daab8c28a21 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4162244481908ab1202a9974deaa completed March 31, 2026, 3:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce88498cf081909c25c292c014fe8c completed April 2, 2026, 3:16 p.m.
Created at: March 30, 2026, 5:29 p.m.