Triple

T4806041
Position Surface form Disambiguated ID Type / Status
Subject Defence Intelligence E106949 entity
Predicate abbreviation P43 FINISHED
Object DI E106949 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: DI | Statement: [Defence Intelligence, abbreviation, DI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DI
Context triple: [Defence Intelligence, abbreviation, DI]
  • A. DI chosen
    DI is the abbreviation for Defence Intelligence, the United Kingdom’s military intelligence organization responsible for providing strategic and operational intelligence to the government and armed forces.
  • B. Di
    Di is a common shortened form of the given name Diana, often used as an affectionate nickname.
  • C. DiDi
    DiDi is a major Chinese ride-hailing and mobility technology company that operates a platform for on-demand transportation and related services.
  • D. DiDi
    DiDi is an American professional basketball player known for her defensive prowess and collegiate success with the Baylor Lady Bears.
  • E. DIS
    DIS is the stock ticker symbol for The Walt Disney Company, a major global entertainment and media conglomerate traded on the New York Stock Exchange.
  • 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_69bd43f6a1e08190bf0a372bfc336ee5 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6c678e58819094cdf18d8c5ea96f completed March 20, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69be440706888190a5f62bef629d3777 completed March 21, 2026, 7:08 a.m.
Created at: March 20, 2026, 1:23 p.m.