Triple

T12975679
Position Surface form Disambiguated ID Type / Status
Subject Aeroporto de Faro E321517 entity
Predicate ICAOcode P419 FINISHED
Object LPFR E82969 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: LPFR | Statement: [Aeroporto de Faro, ICAOcode, LPFR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LPFR
Context triple: [Aeroporto de Faro, ICAOcode, LPFR]
  • A. LPFR chosen
    LPFR is the ICAO airport code for Faro Airport, the main international gateway to Portugal’s Algarve region.
  • B. LFRS
    LFRS is the ICAO airport code for Nantes Atlantique Airport, a major international airport serving the city of Nantes in western France.
  • C. LFRB
    LFRB is the ICAO airport code for Brest Bretagne Airport, an international airport serving the city of Brest in Brittany, France.
  • D. LFRJ
    LFRJ is the ICAO airport code for BAN Landivisiau, a French naval air base and military airfield in Brittany, France.
  • E. LLFPA
    LLFPA is a U.S. federal law that strengthens workers’ ability to challenge pay discrimination by resetting the statute of limitations with each discriminatory paycheck.
  • 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_69d80763bd6c819094437da5b20b01d2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e48c0208190bb7ec80780480b37 completed April 10, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8ec821c81909398d8e02d69dcbf completed May 3, 2026, 2:54 a.m.
Created at: April 9, 2026, 8:37 p.m.