Triple

T6272751
Position Surface form Disambiguated ID Type / Status
Subject Grozny Airport E140576 entity
Predicate hasOfficialName P66 FINISHED
Object Grozny Airport E140576 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: Grozny Airport | Statement: [Grozny Airport, hasOfficialName, Grozny Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grozny Airport
Context triple: [Grozny Airport, hasOfficialName, Grozny Airport]
  • A. Grozny Airport chosen
    Grozny Airport is the main civil aviation airport serving the city of Grozny and the surrounding region in the Chechen Republic, Russia.
  • B. Volgograd International Airport
    Volgograd International Airport is the main commercial air gateway serving the city of Volgograd and the surrounding Volgograd Oblast in southwestern Russia.
  • C. Beslan Airport
    Beslan Airport is a regional airport serving the city of Vladikavkaz and the surrounding area in the Republic of North Ossetia–Alania, Russia.
  • D. Nalchik Airport
    Nalchik Airport is a regional civil airport serving the city of Nalchik in the Kabardino-Balkaria Republic of Russia, handling domestic flights and connecting the area to major Russian destinations.
  • E. Kazan International Airport
    Kazan International Airport is the main commercial airport serving the city of Kazan and the surrounding region in Tatarstan, Russia.
  • 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_69c008cabc4081909723e2547c9d6cc0 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c063bca5488190b9da3c037cfc7953 completed March 22, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c2446ad060819094acd817ba5eadc9 completed March 24, 2026, 7:59 a.m.
Created at: March 22, 2026, 4:25 p.m.