Triple

T23323081
Position Surface form Disambiguated ID Type / Status
Subject Midlothian North and Musselburgh E591209 entity
Predicate hasSettlement P1068 FINISHED
Object Danderhall 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: Danderhall | Statement: [Midlothian North and Musselburgh, hasSettlement, Danderhall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Danderhall
Context triple: [Midlothian North and Musselburgh, hasSettlement, Danderhall]
  • A. Danderhall chosen
    Danderhall is a village in Midlothian, Scotland, situated just southeast of Edinburgh and functioning largely as a commuter community for the city.
  • B. Hallgarth
    Hallgarth is a small settlement within the civil parish of Pittington in County Durham, England.
  • C. Redenhall
    Redenhall is a small rural village and civil parish in the English county of Suffolk, known for its historic church and traditional countryside setting.
  • D. Halldon
    Halldon is a fictional continent on the planet Skaro in the Doctor Who universe, known as part of the Daleks’ homeworld geography.
  • E. Halling
    Halling was a top-class British-trained Thoroughbred racehorse of the 1990s, best known for winning multiple Group 1 middle-distance races including back-to-back Eclipse and Juddmonte International Stakes.
  • 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_69e25d1effe4819096907f95f610dbff completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1978731b0819090f92ef768f2a749 completed April 29, 2026, 5:30 a.m.
Created at: April 17, 2026, 5:07 p.m.