Triple

T21779116
Position Surface form Disambiguated ID Type / Status
Subject Facit E537659 entity
Predicate nearbySettlement P350 FINISHED
Object Shawforth NE NERFINISHED

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: Shawforth | Statement: [Facit, nearbySettlement, Shawforth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shawforth
Context triple: [Facit, nearbySettlement, Shawforth]
  • A. Shawforth chosen
    Shawforth is a small village in Lancashire, England, situated in the Rossendale Valley and historically associated with textile and industrial development.
  • B. Catterick
    Catterick is a village in North Yorkshire, England, historically significant as a Roman settlement and lending its name to the nearby large British Army garrison.
  • C. Garrigill
    Garrigill is a small rural village in Cumbria, England, situated in the North Pennines Area of Outstanding Natural Beauty.
  • D. Shermarke
    Shermarke is a Somali surname most notably associated with Abdirashid Ali Shermarke, a former president and prime minister of Somalia.
  • E. Kilworth
    Kilworth is a small village in County Cork, Ireland, known for its rural setting and proximity to the Galtee Mountains.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c470759c819094a215757113562b completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0462bde288190beef8c4388949132 completed April 28, 2026, 5:31 a.m.
Created at: April 16, 2026, 6:52 p.m.