Triple

T9530179
Position Surface form Disambiguated ID Type / Status
Subject Volgograd International Airport E229868 entity
Predicate formerlyKnownAs P65 FINISHED
Object Gumrak Airport E229873 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: Gumrak Airport | Statement: [Volgograd International Airport, formerlyKnownAs, Gumrak Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gumrak Airport
Context triple: [Volgograd International Airport, formerlyKnownAs, Gumrak Airport]
  • A. Gumrak Airport chosen
    Gumrak Airport is the former name of Volgograd International Airport, a regional air hub serving the city of Volgograd in southwestern Russia.
  • B. Adana Şakirpaşa Airport
    Adana Şakirpaşa Airport is a regional airport in Adana, Turkey, serving domestic and limited international flights for the city and surrounding Çukurova region.
  • C. Oğuzeli Airport
    Oğuzeli Airport is the main public airport serving the city and province of Gaziantep in southeastern Turkey.
  • D. Samsun-Çarşamba Airport
    Samsun-Çarşamba Airport is a regional public airport serving the city of Samsun and its surrounding area on Turkey’s Black Sea coast.
  • E. Mezzeh Military Airport
    Mezzeh Military Airport is a key Syrian military airbase located near Damascus, historically used by the Syrian government for air operations and security activities.
  • 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_69ca8479934c81908006d0e6e970ae05 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd98b2de3081909be70d9ab187dce6 completed April 1, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69d14c38a3848190ab3561f70497c9eb completed April 4, 2026, 5:36 p.m.
Created at: March 30, 2026, 8 p.m.