Triple

T11876529
Position Surface form Disambiguated ID Type / Status
Subject Gretna Green E282540 entity
Predicate hasPostTown P2711 FINISHED
Object Gretna E304725 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: Gretna | Statement: [Gretna Green, hasPostTown, Gretna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gretna
Context triple: [Gretna Green, hasPostTown, Gretna]
  • A. Gretna chosen
    Gretna is a small Scottish town near the England–Scotland border, historically famous as a destination for runaway weddings.
  • B. Gretna, Louisiana
    Gretna, Louisiana is a small city in Jefferson Parish, part of the New Orleans metropolitan area, known as a local governmental and judicial center.
  • C. Gretna, Virginia
    Gretna, Virginia is a small incorporated town in southern Virginia known for its rural character and location within Pittsylvania County.
  • D. Covington
    Covington is a city in the Atlanta metropolitan area of Georgia, known for its historic town square and frequent use as a filming location for movies and television shows.
  • E. Covington
    Covington is the surname of Colby Covington, an American mixed martial artist known for his outspoken persona and success in the UFC welterweight division.
  • 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_69d6ab2945d081908a5851c916cbcfb5 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8be1b6a5c81909a18c54205dda09c completed April 10, 2026, 9:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69f417cb1c3881909ee50e8d11621664 completed May 1, 2026, 3:02 a.m.
Created at: April 8, 2026, 9:44 p.m.