Triple

T12722339
Position Surface form Disambiguated ID Type / Status
Subject Ramenskoye airfield E304016 entity
Predicate IATAcode P418 FINISHED
Object ZIA E61662 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: ZIA | Statement: [Ramenskoye airfield, IATAcode, ZIA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ZIA
Context triple: [Ramenskoye airfield, IATAcode, ZIA]
  • A. ZIA chosen
    ZIA is the IATA airport code for Zhukovsky International Airport, a commercial airport serving the Moscow region in Russia.
  • B. ZI
    ZI is the vehicle registration code used on license plates for vehicles registered in the district of Görlitz in Germany.
  • C. ZIY
    ZIY is the IATA airport code assigned to Gare des Aubrais-Orléans, a major railway station serving the Orléans area in France.
  • D. ZA
    ZA is the ISO 3166-1 alpha-2 country code for South Africa.
  • E. ZAZ
    ZAZ is the IATA airport code for Zaragoza Airport, a major civilian and military airfield serving the city of Zaragoza in northeastern Spain.
  • 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_69d7bdf084148190ab9d513dc0735af4 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d964133fe481909a44b8159ab8997b completed April 10, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c841edc81909147d30c51471c47 completed May 2, 2026, 10:36 p.m.
Created at: April 9, 2026, 5:24 p.m.