Triple

T20884893
Position Surface form Disambiguated ID Type / Status
Subject Trenton, New York E514251 entity
Predicate namedAfter P63 FINISHED
Object Trenton, New Jersey E36449 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: Trenton, New Jersey | Statement: [Trenton, New York, namedAfter, Trenton, New Jersey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trenton, New Jersey
Context triple: [Trenton, New York, namedAfter, Trenton, New Jersey]
  • A. Trenton, New Jersey chosen
    Trenton, New Jersey is the capital city of the state of New Jersey, located along the Delaware River between New York City and Philadelphia.
  • B. Trenton
    Trenton is a community in Ontario, Canada, located at the eastern end of the Trent–Severn Waterway and known as a regional hub on the Bay of Quinte.
  • C. Trenton
    Trenton is a key hacker and member of the fsociety collective in the television series "Mr. Robot."
  • D. Trenton
    Trenton is a small town located in northern Utah, United States, known for its rural character and agricultural surroundings within Cache County.
  • E. Trenton
    Trenton is a small city in Gilchrist County, Florida, serving as a local hub for surrounding rural communities.
  • 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_69e0b4f733f081908a401c0b7beb0b9f completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c67c9d1c81908031eb77c124f119 completed April 21, 2026, 12:36 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09472fe2d88190b642bec23289854b completed May 17, 2026, 4:42 a.m.
Created at: April 16, 2026, 12:46 p.m.