Triple

T14746371
Position Surface form Disambiguated ID Type / Status
Subject Calne E346478 entity
Predicate hasPostTown P2711 FINISHED
Object CALNE E346478 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: CALNE | Statement: [Calne, hasPostTown, CALNE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CALNE
Context triple: [Calne, hasPostTown, CALNE]
  • A. Calne chosen
    Calne is a historic market town in Wiltshire, England, known for its former bacon-curing industry and location in the North Wessex Downs area.
  • B. Cranves-Sales
    Cranves-Sales is a commune in the Haute-Savoie department of southeastern France, located near the Swiss border in the Auvergne-Rhône-Alpes region.
  • C. Malvern
    Malvern is a residential neighbourhood in the eastern part of Toronto, Ontario, known for its diverse community and suburban character.
  • D. Malvern
    Malvern is a town in Worcestershire, England, known for its historic role in British scientific and defense research as well as its scenic Malvern Hills.
  • E. Malvern
    Malvern is a borough in Chester County, Pennsylvania, known as a residential suburb of Philadelphia with regional rail access and a historic downtown.
  • 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_69d822e6f1c88190bc494d491a907114 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7d116e88190828b163b18d80f68 completed April 14, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb982b5c8190a0340be2186f8b81 completed May 8, 2026, 3:04 p.m.
Created at: April 10, 2026, 1:30 a.m.