Triple

T6387243
Position Surface form Disambiguated ID Type / Status
Subject FAAPM E143730 entity
Predicate hasAbbreviation P43 FINISHED
Object FAAPM E143730 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: FAAPM | Statement: [FAAPM, hasAbbreviation, FAAPM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FAAPM
Context triple: [FAAPM, hasAbbreviation, FAAPM]
  • A. FAAPM chosen
    FAAPM is a professional designation awarded to distinguished members of the American Association of Physicists in Medicine in recognition of significant contributions to the field of medical physics.
  • B. FPM
    FPM is the Fellow Programme in Management, a doctoral-level research program in management studies offered by the Indian Institutes of Management.
  • C. EFPM
    EFPM is the Executive Fellow Programme in Management, a doctoral-level program designed for working professionals to pursue advanced research in management.
  • D. FAP
    FAP is the acronym for the Peruvian Air Force, the aerial warfare branch of Peru’s armed forces.
  • E. FAP
    FAP is the acronym for the Portuguese Air Force, the aerial warfare branch of Portugal’s Armed Forces.
  • 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_69c008dac1ec81909cef8157ccd69962 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06869dfb88190aeb84c6c61414888 completed March 22, 2026, 10:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6387dc8888190ba63efcc9aff41b2 completed March 27, 2026, 7:57 a.m.
Created at: March 22, 2026, 4:34 p.m.