Triple

T5950496
Position Surface form Disambiguated ID Type / Status
Subject Antimonopoly Act of Japan E132383 entity
Predicate shortName P43 FINISHED
Object AMA
AMA is the commonly used abbreviation for Japan’s Antimonopoly Act, the core law regulating competition and prohibiting monopolistic practices in the country.
 E560302 NE FINISHED

How this triple was built (4 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 of Japan, shortName, AMA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AMA
Context triple: [Antimonopoly Act of Japan, shortName, AMA]
  • A. AMA
    AMA is the leading professional association and lobbying group representing physicians and medical students in the United States.
  • B. AMI
    AMI is the abbreviation commonly used for the Italian Air Force, the air and space warfare branch of Italy’s armed forces.
  • C. AM
    AM is the two-letter ISO 3166 country code assigned to the Republic of Armenia.
  • D. AM
    AM is the regional vehicle registration code used on license plates for the Greek administrative region of Eastern Macedonia and Thrace.
  • E. AM
    AM is the two-letter IATA airline designator used to identify Aeroméxico in global aviation systems.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: AMA
Triple: [Antimonopoly Act of Japan, shortName, AMA]
Generated description
AMA is the commonly used abbreviation for Japan’s Antimonopoly Act, the core law regulating competition and prohibiting monopolistic practices in the country.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: AMA
Target entity description: AMA is the commonly used abbreviation for Japan’s Antimonopoly Act, the core law regulating competition and prohibiting monopolistic practices in the country.
  • A. AMA
    AMA is the leading professional association and lobbying group representing physicians and medical students in the United States.
  • B. AMI
    AMI is the abbreviation commonly used for the Italian Air Force, the air and space warfare branch of Italy’s armed forces.
  • C. AM
    AM is the two-letter ISO 3166 country code assigned to the Republic of Armenia.
  • D. AM
    AM is the regional vehicle registration code used on license plates for the Greek administrative region of Eastern Macedonia and Thrace.
  • E. AM
    AM is the two-letter IATA airline designator used to identify Aeroméxico in global aviation systems.
  • F. None of above. chosen

Provenance (5 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_69c0086b05cc8190a8f36a96927a525c completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c0397fd19081908ab31b190deb8247 completed March 22, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e3cb29f8819095d44ae3ad193fb2 completed March 23, 2026, 6:55 a.m.
NEDg Description generation batch_69c0fab383f88190b18c55bf3704f3a4 completed March 23, 2026, 8:32 a.m.
NED2 Entity disambiguation (via description) batch_69c0fdefa0d8819087adf1d41d9d9fe2 completed March 23, 2026, 8:46 a.m.
Created at: March 22, 2026, 4:02 p.m.