Triple

T23163044
Position Surface form Disambiguated ID Type / Status
Subject Darlington Nagbe E578638 entity
Predicate givenName P17 FINISHED
Object Darlington NE NERFINISHED

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 Nagbe, givenName, Darlington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Darlington
Context triple: [Darlington Nagbe, givenName, Darlington]
  • A. 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.
  • B. Darlington
    Darlington is an inner-city suburb of Sydney, New South Wales, known for its proximity to the University of Sydney and its mix of historic terraces and student housing.
  • C. Darlington chosen
    Darlington is a surname of English origin borne by various notable individuals across fields such as engineering, science, and public life.
  • D. Darlington
    Darlington is a market town and borough in County Durham, England, historically known for its pioneering role in railway development.
  • E. Darlington
    Darlington is a civil parish in New South Wales, Australia, that includes the locality of Darlington Point.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245fc75348190a0288401044c8af8 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18f29be30819091e18551044a98f3 completed April 29, 2026, 4:55 a.m.
Created at: April 17, 2026, 4:02 p.m.