Triple

T20913181
Position Surface form Disambiguated ID Type / Status
Subject Matlock railway station E515001 entity
Predicate locatedNear P294 FINISHED
Object Matlock town centre 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: Matlock town centre | Statement: [Matlock railway station, locatedNear, Matlock town centre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matlock town centre
Context triple: [Matlock railway station, locatedNear, Matlock town centre]
  • A. Matlock town centre chosen
    Matlock town centre is the commercial and social heart of the Derbyshire town of Matlock, featuring shops, services, and public spaces amid the surrounding Peak District landscape.
  • B. The Town Center
    The Town Center is a central commercial and social hub, typically featuring shops, restaurants, and public gathering spaces that serve as the focal point of community activity.
  • C. Moss town center
    Moss town center is the main commercial and administrative hub of the coastal city of Moss in southeastern Norway.
  • D. Higher Town
    Higher Town is a small settlement associated with the parish of St Agnes in the Isles of Scilly, England.
  • E. Milpark
    Milpark is an inner-city area of Johannesburg, South Africa, known for its proximity to major universities, hospitals, and cultural hubs like Braamfontein.
  • 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_69e0b4f9d5ec8190bb2bd27350ed341c completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6ec60d3288190897a087bbdd4f005 completed April 21, 2026, 3:17 a.m.
Created at: April 16, 2026, 12:48 p.m.