Triple

T8505077
Position Surface form Disambiguated ID Type / Status
Subject BOK Center E201313 entity
Predicate formerOperator P179 FINISHED
Object SMG E165167 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: [BOK Center, formerOperator, SMG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SMG
Context triple: [BOK Center, formerOperator, SMG]
  • A. SMG chosen
    SMG is a private company specializing in the management and operation of public assembly facilities such as stadiums, arenas, and convention centers.
  • B. SMG
    SMG is the abbreviation for the Science Museum Group, a UK-based organization that manages several major science and technology museums.
  • C. CMG
    CMG is China’s state-owned national media conglomerate that oversees major television, radio, and online broadcasting services.
  • D. 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.
  • E. CMG
    CMG is the vehicle registration code assigned to the town of Mogilno in Poland.
  • 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_69ca831fe47c8190b5c57b456d2aefa0 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe5d8b7208190b199c56bf366c692 completed March 31, 2026, 3:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce4e3037e4819090677c7dc607e8f2 completed April 2, 2026, 11:08 a.m.
Created at: March 30, 2026, 6:14 p.m.