Triple

T17507656
Position Surface form Disambiguated ID Type / Status
Subject AGS E426363 entity
Predicate hasIATACode P2569 FINISHED
Object AGS 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: AGS | Statement: [AGS, hasIATACode, AGS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AGS
Context triple: [AGS, hasIATACode, AGS]
  • A. AGS
    AGS is a professional organization in the United States dedicated to improving the health, independence, and quality of life of older adults through geriatrics research, education, and clinical care.
  • B. AGS chosen
    AGS is the three-letter IATA airport code for Augusta Regional Airport, a public airport serving Augusta, Georgia, in the United States.
  • C. AGS
    AGS is the commonly used abbreviation for the American Geographical Society, a scholarly organization dedicated to advancing geographic research and education.
  • D. AGSA
    AGSA was the main state security and intelligence agency of the People's Democratic Party of Afghanistan, responsible for internal surveillance, repression, and political control during its rule.
  • E. AG
    AG is the vehicle registration code used on license plates for cars registered in Argeș County, Romania.
  • 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_69d889dd9164819087b1dc3c9240c870 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4525985f881909a5ad28b30762680 completed April 19, 2026, 3:56 a.m.
Created at: April 10, 2026, 5:48 a.m.