Triple

T3320549
Position Surface form Disambiguated ID Type / Status
Subject Earl of Beaconsfield E69784 entity
Predicate namedAfter P63 FINISHED
Object Beaconsfield E232557 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: Beaconsfield | Statement: [Earl of Beaconsfield, namedAfter, Beaconsfield]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beaconsfield
Context triple: [Earl of Beaconsfield, namedAfter, Beaconsfield]
  • A. 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.
  • B. Beaconsfield chosen
    Beaconsfield is a historic market town in South East England known for its affluent residential character and well-preserved old town architecture.
  • C. Bracknell
    Bracknell is a town in the English county of Berkshire, known as a post-war New Town and commercial centre in the Thames Valley.
  • D. Berkhamsted
    Berkhamsted is a historic market town in Hertfordshire, England, known for its medieval castle remains and role as a commuter hub northwest of London.
  • E. Bracknell Forest
    Bracknell Forest is a unitary authority area and borough in Berkshire, South East England, encompassing the town of Bracknell and surrounding communities.
  • 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_69ad85a0bb048190a5458d2738012d61 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb13a4e948190841134d6ae6ef432 completed March 8, 2026, 5:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56275e1708190aa4b02acebb978c6 completed March 14, 2026, 1:28 p.m.
Created at: March 8, 2026, 3:11 p.m.