Triple

T17314462
Position Surface form Disambiguated ID Type / Status
Subject PAFA E420384 entity
Predicate hasIATACode P2569 FINISHED
Object FAI NE ONNED1

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: FAI | Statement: [PAFA, hasIATACode, FAI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FAI
Context triple: [PAFA, hasIATACode, FAI]
  • A. FAI chosen
    FAI is the IATA airport code for Fairbanks International Airport, a major air transport hub serving Fairbanks and interior Alaska.
  • B. FAI
    FAI is the Football Association of Ireland, the national governing body for association football in the Republic of Ireland.
  • C. FAI
    FAI is an Italian non-profit foundation dedicated to protecting, restoring, and promoting Italy’s cultural, historical, and natural heritage.
  • D. FAI
    FAI (Federación Anarquista Ibérica) was a Spanish anarchist organization that played a major role in the country’s revolutionary and anti-fascist movements during the 1930s.
  • E. FAIA
    FAIA is the post-nominal designation used by architects who have been elected to the College of Fellows of the American Institute of Architects, recognizing their significant contributions to the profession and society.
  • 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_69d889d22b848190a4663d0b8f8f76e7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4399b4dcc8190996d79d04ba88795 completed April 19, 2026, 2:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01954cfd048190b201c5e457c2a4a2 in_progress May 11, 2026, 8:37 a.m.
Created at: April 10, 2026, 5:43 a.m.