Triple

T14703878
Position Surface form Disambiguated ID Type / Status
Subject Edward Pease E345373 entity
Predicate placeOfDeath P21 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: [Edward Pease, placeOfDeath, Darlington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Darlington
Context triple: [Edward Pease, placeOfDeath, Darlington]
  • A. 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.
  • B. Darlington
    Darlington is a surname of English origin borne by various notable individuals across fields such as engineering, science, and public life.
  • C. Darlington chosen
    Darlington is a market town and borough in County Durham, England, historically known for its pioneering role in railway development.
  • D. 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.
  • 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 (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_69d822e4a8c08190a155df736bb7bc13 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb6071e5c8190bb5509c859135c2d completed April 14, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb8221a4819098937018f24a0b44 completed May 8, 2026, 3:04 p.m.
Created at: April 10, 2026, 1:28 a.m.