Triple

T96042
Position Surface form Disambiguated ID Type / Status
Subject London Gazette E1932 entity
Predicate originalTitle P65 FINISHED
Object Oxford Gazette E1932 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: Oxford Gazette | Statement: [London Gazette, originalTitle, Oxford Gazette]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oxford Gazette
Context triple: [London Gazette, originalTitle, Oxford Gazette]
  • A. London Gazette chosen
    The London Gazette is an official journal of record of the British government, publishing legal notices, honours, and state announcements.
  • B. Edinburgh Gazette
    The Edinburgh Gazette is an official government journal of record for Scotland, publishing legal notices, public appointments, and other statutory information.
  • C. Belfast Gazette
    The Belfast Gazette is an official government journal of record for Northern Ireland, publishing statutory notices, legal announcements, and other formal public information.
  • D. Cassell
    Cassell is a British publishing company known for producing a wide range of books, including notable historical works and reference titles.
  • E. The Harrovian
    The Harrovian is the long-running school newspaper and magazine produced by and for the community of Harrow School in England.
  • 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_69a24d4862f881908cc8b89d3a78031d completed Feb. 28, 2026, 2:04 a.m.
NER Named-entity recognition batch_69a24fd5cecc8190aca5fb4c4fe91a19 completed Feb. 28, 2026, 2:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69a275e4880c81908f39d69fbeb8f61a completed Feb. 28, 2026, 4:58 a.m.
Created at: Feb. 28, 2026, 2:09 a.m.