Triple

T13579505
Position Surface form Disambiguated ID Type / Status
Subject New Jersey E324373 entity
Predicate hasMajorCity P316 FINISHED
Object Paterson E864434 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 | Statement: [New Jersey, hasMajorCity, Paterson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paterson
Context triple: [New Jersey, hasMajorCity, Paterson]
  • A. 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.
  • 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 2016 independent drama film that quietly follows a week in the life of a bus driver-poet in New Jersey, reflecting on routine, creativity, and everyday beauty.
  • D. 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.
  • E. Paterson chosen
    Paterson is a major city in northern New Jersey known for its industrial history, diverse population, and role as a regional transportation hub.
  • 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_69d80769100c819099111274614f5ed2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb03052088190a2b68c106059828e completed April 12, 2026, 2:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f76bbdb2d0819089f094e57dde28cf completed May 3, 2026, 3:37 p.m.
Created at: April 9, 2026, 9:48 p.m.