Triple

T9208574
Position Surface form Disambiguated ID Type / Status
Subject Letcombe Bassett E221050 entity
Predicate parliamentaryConstituency P2710 FINISHED
Object Wantage E41601 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: Wantage | Statement: [Letcombe Bassett, parliamentaryConstituency, Wantage]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wantage
Context triple: [Letcombe Bassett, parliamentaryConstituency, Wantage]
  • A. Wantage chosen
    Wantage is a historic market town in Oxfordshire, England, best known as the birthplace of King Alfred the Great.
  • B. Slough
    Slough is a large industrial and commercial town in southern England, known for its diverse population and proximity to London and Heathrow Airport.
  • C. Bicester
    Bicester is a historic market town in Oxfordshire, England, best known today for its rapid growth and the popular designer outlet shopping destination Bicester Village.
  • D. Beaconsfield
    Beaconsfield is a suburban city on the western part of the Island of Montreal in Quebec, Canada, known for its residential character and waterfront along Lake Saint-Louis.
  • E. Beaconsfield
    Beaconsfield is a historic market town in South East England known for its affluent residential character and well-preserved old town architecture.
  • 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_69ca83e9d0e081908bdb71097201a06c completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd9b217008190a0ab4971dd4a8899 completed April 1, 2026, 8:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69d90d3dfbac819087d07c35a1776064 completed April 10, 2026, 2:46 p.m.
Created at: March 30, 2026, 7:26 p.m.