Triple

T17236286
Position Surface form Disambiguated ID Type / Status
Subject Dunellen E418368 entity
Predicate hasRailServiceTo P726 FINISHED
Object Newark E38639 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: Newark | Statement: [Dunellen, hasRailServiceTo, Newark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Newark
Context triple: [Dunellen, hasRailServiceTo, Newark]
  • A. Newark chosen
    Newark is a major city in northern New Jersey known for its historic significance, diverse communities, and role as a cultural and transportation hub in the New York metropolitan area.
  • B. Newark
    Newark was the early colonial town that served as the first capital of Upper Canada, located at the mouth of the Niagara River (now known as Niagara-on-the-Lake, Ontario).
  • C. Newark
    Newark is a small suburban city in California’s San Francisco Bay Area, located near the southern end of the East Bay.
  • D. Newark
    Newark is a city in northern Delaware known for being home to the University of Delaware and its vibrant college-town community.
  • E. Newark
    Newark is a market town in Nottinghamshire, England, known historically for its castle and role in the English Civil War.
  • 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_69d886d8e96081909870bff6c3d0bf09 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42dfbc6e88190a3dd7930fd1681ac completed April 19, 2026, 1:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01673ff7ec8190add7af932c38deef completed May 11, 2026, 5:21 a.m.
Created at: April 10, 2026, 5:39 a.m.