Triple

T11440975
Position Surface form Disambiguated ID Type / Status
Subject Zaragoza Airport E271141 entity
Predicate IATAcode P418 FINISHED
Object ZAZ E388993 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: ZAZ | Statement: [Zaragoza Airport, IATAcode, ZAZ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ZAZ
Context triple: [Zaragoza Airport, IATAcode, ZAZ]
  • A. ZAZ chosen
    ZAZ is the IATA airport code for Zaragoza Airport, a major civilian and military airfield serving the city of Zaragoza in northeastern Spain.
  • B. ZA
    ZA is the ISO 3166-1 alpha-2 country code for South Africa.
  • C. ZAG
    ZAG is the commonly used abbreviation for Zagłębie Lubin, a professional football club based in Lubin, Poland.
  • D. ZAG
    ZAG is the three-letter IATA airport code for Zagreb Franjo Tuđman Airport, the main international airport serving Croatia’s capital city, Zagreb.
  • E. ZAD
    ZAD is the IATA airport code for Zadar Airport, which serves the coastal city of Zadar in Croatia.
  • 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_69d6aadeef688190874bcecd88b3dd9b completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d80888190c8190b6365550ffe4931c completed April 9, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5d3a2a68481909704ef9a7f780afc completed April 20, 2026, 7:20 a.m.
Created at: April 8, 2026, 9:35 p.m.