Triple

T22286964
Position Surface form Disambiguated ID Type / Status
Subject Deeping St Nicholas E550887 entity
Predicate nearestTown P350 FINISHED
Object Market Deeping 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: Market Deeping | Statement: [Deeping St Nicholas, nearestTown, Market Deeping]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Market Deeping
Context triple: [Deeping St Nicholas, nearestTown, Market Deeping]
  • A. Market Deeping chosen
    Market Deeping is a small market town in Lincolnshire, England, known for its historic architecture and position near the River Welland.
  • B. Market Cross
    Market Cross is a historic stone market monument located at the center of the picturesque English village of Castle Combe in Wiltshire.
  • C. Market Cross
    Market Cross is a historic octagonal market building and focal point in the center of Barnard Castle, England.
  • D. Market Cross
    Market Cross is a historic stone market monument in the town of Shepton Mallet, England, traditionally marking the site of local trading and public gatherings.
  • E. Market Cross
    Market Cross is a historic medieval stone market monument located in the town center of Malmesbury, England.
  • 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_69e11e44d538819097c6b8f333af3352 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15607d9948190b4b8e9cd7fa4d390 completed April 29, 2026, 12:51 a.m.
Created at: April 16, 2026, 8:40 p.m.