Triple

T16131863
Position Surface form Disambiguated ID Type / Status
Subject Nadi International Airport E391417 entity
Predicate ICAOcode P419 FINISHED
Object NFFN E347661 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: NFFN | Statement: [Nadi International Airport, ICAOcode, NFFN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NFFN
Context triple: [Nadi International Airport, ICAOcode, NFFN]
  • A. NFFN chosen
    NFFN is the ICAO airport code for Nadi International Airport, the main international gateway to Fiji located on the island of Viti Levu.
  • B. NFF
    NFF is the commonly used abbreviation for the Nigeria Football Federation, the governing body of football in Nigeria.
  • C. NFF
    NFF is the commonly used abbreviation for the Norwegian Football Federation, the governing body for football in Norway.
  • D. NFF
    NFF is the commonly used abbreviation for the National Football Foundation, a nonprofit organization dedicated to promoting and developing amateur American football and overseeing the College Football Hall of Fame.
  • E. NFF
    NFF is the abbreviation for the Netherlands Film Festival, an annual event celebrating Dutch cinema and filmmakers.
  • 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_69d87f1bb0988190b490d273dbf3fd03 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21a02172c8190978f7951ccd80928 completed April 17, 2026, 11:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff2b1b7248190a1bba4a87db8318b completed May 10, 2026, 2:51 a.m.
Created at: April 10, 2026, 5:01 a.m.