Triple

T18942752
Position Surface form Disambiguated ID Type / Status
Subject MDA E463426 entity
Predicate replacedByAbbreviation P101 FINISHED
Object ANA 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: ANA | Statement: [MDA, replacedByAbbreviation, ANA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ANA
Context triple: [MDA, replacedByAbbreviation, ANA]
  • A. ANA
    ANA is the standard three-letter abbreviation used for the Anaheim Ducks, a professional ice hockey team in the National Hockey League.
  • B. ANA
    ANA is the ICAO airline designator for All Nippon Airways, Japan’s largest airline and a major global carrier.
  • C. ANA
    ANA is a postal code format designation associated with the K9K region.
  • D. ANA
    ANA is a German vehicle registration code assigned to the Erzgebirgskreis district in the state of Saxony.
  • E. ANA
    ANA is the commonly used abbreviation for the Afghan National Army, the former main land warfare branch of Afghanistan’s armed forces.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69d8dcfec90481909e926be9767e5779 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d3ec857081908da0f974604f2c65 completed April 20, 2026, 7:21 a.m.
Created at: April 10, 2026, 11:59 a.m.