Triple

T12543160
Position Surface form Disambiguated ID Type / Status
Subject Shirak Province E299892 entity
Predicate hasAirport P105 FINISHED
Object Shirak Airport E523407 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: Shirak Airport | Statement: [Shirak Province, hasAirport, Shirak Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shirak Airport
Context triple: [Shirak Province, hasAirport, Shirak Airport]
  • A. Shirak Airport chosen
    Shirak Airport is an international airport serving the city of Gyumri in northwestern Armenia, functioning as one of the country’s main civilian air gateways.
  • B. Sary-Arka Airport
    Sary-Arka Airport is the main international airport serving the city of Karaganda in central Kazakhstan.
  • C. Shosseynaya Airport
    Shosseynaya Airport was the original name of what is now known as Pulkovo Airport, the main international airport serving Saint Petersburg, Russia.
  • D. Almaza Airport
    Almaza Airport is a historic airfield in Cairo that served as the city's main airport before the opening of Cairo International Airport.
  • E. Nadym Airport
    Nadym Airport is a regional airport in Nadym, Russia, primarily serving as a key base for operations in the Yamalo-Nenets Autonomous Okrug.
  • 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_69d6ada707008190aaec1238117c9379 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9547d6df4819080db8415d386ed38 completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6557e6d4c81909ed54a039e92a160 completed May 2, 2026, 7:50 p.m.
Created at: April 8, 2026, 9:57 p.m.