Triple

T1037101
Position Surface form Disambiguated ID Type / Status
Subject Alfred the Great E22387 entity
Predicate birthPlace P1 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: [Alfred the Great, birthPlace, Wantage]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wantage
Context triple: [Alfred the Great, birthPlace, 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. Nuneaton
    Nuneaton is a market town in Warwickshire, England, best known as the birthplace of Victorian novelist George Eliot.
  • 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_69a493d848848190aed4011b34b2e8d3 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b82a1014819085bfc077e24c9742 completed March 1, 2026, 10:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69ada0b24844819090904b831c73495c completed March 8, 2026, 4:15 p.m.
Created at: March 1, 2026, 7:41 p.m.