Triple

T22674175
Position Surface form Disambiguated ID Type / Status
Subject Antimonopoly Act E560301 entity
Predicate shortName P43 FINISHED
Object AMA NE NERFINISHED

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: AMA | Statement: [Antimonopoly Act, shortName, AMA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AMA
Context triple: [Antimonopoly Act, shortName, AMA]
  • A. AMA
    AMA is the three-letter IATA airport code for Rick Husband Amarillo International Airport in Amarillo, Texas.
  • B. AMA
    AMA is the leading professional association and lobbying group representing physicians and medical students in the United States.
  • C. AMA chosen
    AMA is the commonly used abbreviation for Japan’s Antimonopoly Act, the core law regulating competition and prohibiting monopolistic practices in the country.
  • D. AMI
    AMI is the abbreviation commonly used for the Italian Air Force, the air and space warfare branch of Italy’s armed forces.
  • E. AMI
    AMI is the station code for Amityville station, a Long Island Rail Road commuter rail stop in Amityville, New York.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2454bfd00819099115715a22cb057 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f178229e908190b696d14a93c11344 completed April 29, 2026, 3:16 a.m.
Created at: April 17, 2026, 3:10 p.m.