Triple

T4779137
Position Surface form Disambiguated ID Type / Status
Subject New Jersey's 9th congressional district E106129 entity
Predicate contains P35 FINISHED
Object City of Paterson 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: City of Paterson | Statement: [New Jersey's 9th congressional district, contains, City of Paterson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Paterson
Context triple: [New Jersey's 9th congressional district, contains, City of Paterson]
  • A. Paterson
    Paterson is a Scottish-origin surname borne by various notable individuals across politics, law, sports, and the arts.
  • B. Paterson
    Paterson is an Australian federal electoral division in New South Wales, represented in the national Parliament.
  • C. 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.
  • D. Coal City
    Coal City is the popular nickname of Enugu, a major city in southeastern Nigeria historically known for its rich coal deposits and mining industry.
  • E. Coal City
    Coal City is a small unincorporated community in southern West Virginia, historically associated with the region’s coal mining industry.
  • 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_69bd43f3074c8190937e7b0a457fe9f1 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd658942e481908570cfec77fe4a4b completed March 20, 2026, 3:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69be43cecc748190a410c262aa2e4b98 completed March 21, 2026, 7:07 a.m.
Created at: March 20, 2026, 1:21 p.m.