Triple

T15350334
Position Surface form Disambiguated ID Type / Status
Subject Hundred of Salford E367033 entity
Predicate contains P35 FINISHED
Object Newton Heath E34069 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: Newton Heath | Statement: [Hundred of Salford, contains, Newton Heath]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Newton Heath
Context triple: [Hundred of Salford, contains, Newton Heath]
  • A. Newton Heath chosen
    Newton Heath was the original name of the English football club that later became Manchester United, one of the world’s most famous and successful teams.
  • B. Small Heath
    Small Heath was an English football club from Birmingham that later became Birmingham City F.C., known for its early role in organized league football in the late 19th century.
  • C. Thornton Heath
    Thornton Heath is a diverse residential district in South London known for its vibrant multicultural community and strong transport links into central London.
  • D. Kings Heath
    Kings Heath is a suburban area of Birmingham, England, known for its vibrant high street, independent shops, and popular parks and music venues.
  • E. Hurst Green
    Hurst Green is a small village in Lancashire, England, known for its scenic countryside near the River Ribble and its association with Stonyhurst College.
  • 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_69d85a1355608190a6673ddb67231d54 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e290efc8190b22c95dcd3e5f57f completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff01fd53688190939787a3d6ff3bb9 completed May 9, 2026, 9:44 a.m.
Created at: April 10, 2026, 3:17 a.m.