Triple

T17181164
Position Surface form Disambiguated ID Type / Status
Subject AGA E416984 entity
Predicate shortName P43 FINISHED
Object AGA unclear NED1 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: AGA | Statement: [AGA, shortName, AGA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AGA
Context triple: [AGA, shortName, AGA]
  • A. AGA
    AGA is the Advanced Graphics Architecture chipset used in later Commodore Amiga computers, providing enhanced color depth and graphics capabilities over earlier Amiga chipsets.
  • B. AGA
    AGA is a continental framework of the African Union that promotes and coordinates good governance, democracy, human rights, and the rule of law across African states.
  • C. AGA
    AGA is a Swedish industrial gas and engineering company historically known for its innovations in lighthouse technology and gas appliances.
  • D. AGA
    AGA is the IATA airport code for Agadir–Al Massira Airport, the main international gateway serving the city of Agadir in southwestern Morocco.
  • E. AGA (traditional abbreviation)
    AGA (traditional abbreviation) refers to Spain’s General Air and Space Academy, the military officer training school of the Spanish Air and Space Force.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69d886d5f34c8190b24564dfaa63f3fb completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3fc1187808190aeaa0d0e6487957e completed April 18, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_6a014847a19481909b1249c2fe428bfc completed May 11, 2026, 3:08 a.m.
Created at: April 10, 2026, 5:37 a.m.