Triple

T9618430
Position Surface form Disambiguated ID Type / Status
Subject Camperdown/Darlington campus E232278 entity
Predicate locatedInSuburb P40 FINISHED
Object Darlington E353163 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: [Camperdown/Darlington campus, locatedInSuburb, Darlington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Darlington
Context triple: [Camperdown/Darlington campus, locatedInSuburb, Darlington]
  • A. Darlington
    Darlington is a market town and borough in County Durham, England, historically known for its pioneering role in railway development.
  • 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
    Darlington is a residential neighborhood in the city of Pawtucket, known as one of the oldest and most densely populated areas in Rhode Island.
  • D. Darlington chosen
    Darlington is a civil parish in New South Wales, Australia, that includes the locality of Darlington Point.
  • E. 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.
  • 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_69ca84867bb88190b4b57dd5a56d5691 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9ab0a15481908945b50c622b71b9 completed April 1, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69d17965cce08190862ea8a48addf0a2 completed April 4, 2026, 8:49 p.m.
Created at: March 30, 2026, 8:09 p.m.