Triple

T15350342
Position Surface form Disambiguated ID Type / Status
Subject Hundred of Salford E367033 entity
Predicate contains P35 FINISHED
Object Tottington E281492 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: Tottington | Statement: [Hundred of Salford, contains, Tottington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tottington
Context triple: [Hundred of Salford, contains, Tottington]
  • A. Tottington chosen
    Tottington is a small town in Greater Manchester, England, situated within the Metropolitan Borough of Bury and known for its semi-rural character and historic village centre.
  • B. Rothwell
    Rothwell is a town in Northamptonshire, England, situated near Kettering and known for its historic market heritage.
  • C. Rothwell
    Rothwell is a town in West Yorkshire, England, situated near Leeds and historically known for its coal mining and market traditions.
  • D. Rothwell
    Rothwell is a residential suburb located within Queensland’s Moreton Bay Region, north of Brisbane, Australia.
  • E. Tylerton
    Tylerton is a small, remote watermen’s village on Smith Island in the Chesapeake Bay, known for its crabbing industry and preserved traditional island culture.
  • 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.