Triple

T3778581
Position Surface form Disambiguated ID Type / Status
Subject Metrocars E83366 entity
Predicate primaryCityServed P82 FINISHED
Object Sunderland E52568 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: Sunderland | Statement: [Metrocars, primaryCityServed, Sunderland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sunderland
Context triple: [Metrocars, primaryCityServed, Sunderland]
  • A. Sunderland chosen
    Sunderland is a coastal city in Tyne and Wear, North East England, historically known for its shipbuilding and coal-mining industries and now a center for services, education, and automotive manufacturing.
  • B. Sunderland A.F.C.
    Sunderland A.F.C. is a professional football club from Sunderland in North East England, historically successful and known for its passionate fanbase and intense local derbies.
  • C. Newcastle
    Newcastle is a settlement within the Parish of St. Andrew, likely a small town or village in a predominantly rural Caribbean island parish.
  • D. Newcastle
    Newcastle is a coastal city in New South Wales, Australia, known for its busy port, beaches, and industrial heritage.
  • E. Newcastle
    Newcastle is a major industrial and commercial city in South Africa’s KwaZulu-Natal province, known for its manufacturing, coal mining, and regional service economy.
  • 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_69ad8b235e608190b5a2b1d1bfcef50b completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcc78173081908b230017834cdf9e completed March 8, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4fb1616008190a6ec9a2df5bac2b4 completed March 14, 2026, 6:07 a.m.
Created at: March 8, 2026, 3:36 p.m.