Triple

T9196773
Position Surface form Disambiguated ID Type / Status
Subject White Horse Hill E220734 entity
Predicate near P350 FINISHED
Object Uffington E212402 NE FINISHED

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: Uffington | Statement: [White Horse Hill, near, Uffington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Uffington
Context triple: [White Horse Hill, near, Uffington]
  • A. Uffington chosen
    Uffington is a historic village in Oxfordshire, England, best known for its proximity to the prehistoric Uffington White Horse hill figure and Iron Age hillfort.
  • B. Uffington
    Uffington is a village in Lincolnshire, England, known for its historic church, traditional stone buildings, and rural setting near the River Welland.
  • C. Goudhurst
    Goudhurst is a historic rural village in Kent, England, known for its scenic Wealden countryside, traditional architecture, and prominent hilltop church.
  • D. Offley
    Offley is a village and civil parish in Hertfordshire, England, known for its rural character and historic buildings.
  • E. Buntingford
    Buntingford is a small historic market town in Hertfordshire, England, known for its traditional high street and rural surroundings.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca83e7ba70819088b74866d9da2c30 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd87d6460819097234b5dd3f749b4 completed April 1, 2026, 8:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05c3b1af48190bb03af15232c510d completed April 4, 2026, 12:32 a.m.
Created at: March 30, 2026, 7:25 p.m.