Triple

T23228813
Position Surface form Disambiguated ID Type / Status
Subject Dore E581090 entity
Predicate hasNeighbourhood P4813 FINISHED
Object Millhouses 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: Millhouses | Statement: [Dore, hasNeighbourhood, Millhouses]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Millhouses
Context triple: [Dore, hasNeighbourhood, Millhouses]
  • A. Millhouses chosen
    Millhouses is a suburban district of Sheffield, England, known for its large public park, residential character, and location in the Sheaf Valley.
  • B. Waterhouses
    Waterhouses is a small village in Staffordshire, England, situated on the edge of the Peak District and known as a base for exploring the surrounding countryside and trails.
  • C. Milldown
    Milldown is a notable summit in the Rhinns of Kells range in the Galloway Hills of southwest Scotland, popular with hillwalkers for its rounded grassy slopes and expansive views.
  • D. Windhill
    Windhill is a district within the town of Shipley in West Yorkshire, England, forming part of the local community represented in the Shipley UK Parliament constituency.
  • 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_69e246043c48819089bae72c9a9c306c completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f192302e508190b286c284a261f172 completed April 29, 2026, 5:08 a.m.
Created at: April 17, 2026, 4:09 p.m.