Triple

T20868974
Position Surface form Disambiguated ID Type / Status
Subject Pittington E513839 entity
Predicate hasSubdivision P747 FINISHED
Object High Pittington 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: High Pittington | Statement: [Pittington, hasSubdivision, High Pittington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: High Pittington
Context triple: [Pittington, hasSubdivision, High Pittington]
  • A. Pittington chosen
    Pittington is a village in County Durham, England, known for its rural setting and proximity to historic estates such as Elemore Hall.
  • B. Yockenthwaite
    Yockenthwaite is a small hamlet in the Yorkshire Dales, England, known for its traditional stone buildings and scenic rural surroundings.
  • C. Botley Hill
    Botley Hill is a prominent summit in Surrey, England, known as the highest point on the North Downs and a popular spot for walking and scenic views.
  • D. Coryton
    Coryton is a suburban area and railway terminus in Cardiff, Wales, served by local commuter trains.
  • E. Shudehill
    Shudehill is a central district in Manchester, England, known for its major bus and tram interchange and proximity to the city’s main shopping and commercial areas.
  • 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_69e0b4f675cc8190b4e745225b62eb66 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c4624ce48190b85e5bb24cf0a305 completed April 21, 2026, 12:27 a.m.
Created at: April 16, 2026, 12:45 p.m.