Triple

T9881823
Position Surface form Disambiguated ID Type / Status
Subject Santander Arena E180825 entity
Predicate operator 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: [Santander Arena, operator, SMG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SMG
Context triple: [Santander Arena, operator, 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_69ca828082cc8190a40f8d299caa6545 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cdb418417c8190b00dea8916a2e102 completed April 2, 2026, 12:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1eaea3d788190b3020c07c2739495 completed April 5, 2026, 4:54 a.m.
Created at: March 30, 2026, 8:38 p.m.