Triple

T1319765
Position Surface form Disambiguated ID Type / Status
Subject Science Museum Group E28189 entity
Predicate abbreviation P43 FINISHED
Object SMG E28189 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: SMG | Statement: [Science Museum Group, abbreviation, SMG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SMG
Context triple: [Science Museum Group, abbreviation, SMG]
  • A. SMG chosen
    SMG is the abbreviation for the Science Museum Group, a UK-based organization that manages several major science and technology museums.
  • B. CMG
    CMG is a post-nominal honorific indicating appointment as a Companion of the Order of St Michael and St George, a British order of chivalry typically awarded for distinguished service in foreign affairs or overseas.
  • C. Omni Television
    Omni Television is a Canadian multilingual television network known for broadcasting programming in a wide range of languages to serve diverse ethnic communities.
  • D. MSG Network
    MSG Network is a regional sports television network based in New York, best known for broadcasting New York Knicks and Rangers games and related programming.
  • E. WGN America
    WGN America is a U.S.-based cable television network known for airing syndicated series, movies, and original programming to a national audience.
  • 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_69a498532c3481909223b74af2e578df completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c179883c8190b68fbeebb9696982 completed March 1, 2026, 10:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69acbaf6a6d08190b8a30c2c64f15f59 completed March 7, 2026, 11:55 p.m.
Created at: March 1, 2026, 7:55 p.m.