Triple

T6484316
Position Surface form Disambiguated ID Type / Status
Subject River Tees E146470 entity
Predicate flowsThrough P225 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: [River Tees, flowsThrough, Darlington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Darlington
Context triple: [River Tees, flowsThrough, Darlington]
  • A. Darlington chosen
    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
    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_69c0090158c08190af0df9a2348d2d52 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c06a6de31c81909dd99d105f5bb4c2 completed March 22, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c653b24670819088fa8e0d7eb6f73b completed March 27, 2026, 9:53 a.m.
Created at: March 22, 2026, 4:52 p.m.