Triple

T6626504
Position Surface form Disambiguated ID Type / Status
Subject Darlington E149816 entity
Predicate postalTown P2711 FINISHED
Object DARLINGTON E149816 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: DARLINGTON | Statement: [Darlington, postalTown, DARLINGTON]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DARLINGTON
Context triple: [Darlington, postalTown, DARLINGTON]
  • A. Darlington, South Carolina
    Darlington, South Carolina is a small city in the Pee Dee region best known as the longtime home of NASCAR’s historic Southern 500 race at Darlington Raceway.
  • B. Darlington
    Darlington is a residential neighborhood in the city of Pawtucket, known as one of the oldest and most densely populated areas in Rhode Island.
  • C. Darlington
    Darlington is a civil parish in New South Wales, Australia, that includes the locality of Darlington Point.
  • D. Darlington
    Darlington is a surname of English origin borne by various notable individuals across fields such as engineering, science, and public life.
  • E. Darlington chosen
    Darlington is a market town and borough in County Durham, England, historically known for its pioneering role in railway development.
  • 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_69c687ee50048190aa151765bef16193 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6afa0feb0819099629c0fba590a05 completed March 27, 2026, 4:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e44d356c8190ad4f2a617c3de4af completed March 27, 2026, 8:10 p.m.
Created at: March 27, 2026, 1:58 p.m.