Triple

T4109556
Position Surface form Disambiguated ID Type / Status
Subject Erzurum Province E88537 entity
Predicate hasTransportation P105 FINISHED
Object Erzurum Airport E327377 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: Erzurum Airport | Statement: [Erzurum Province, hasTransportation, Erzurum Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Erzurum Airport
Context triple: [Erzurum Province, hasTransportation, Erzurum Airport]
  • A. Erzurum Airport chosen
    Erzurum Airport is a public airport serving the city of Erzurum in eastern Turkey, handling both domestic and limited international flights.
  • B. Kayseri Erkilet Airport
    Kayseri Erkilet Airport is a regional and international airport in central Turkey that serves as a major air gateway for travelers visiting the Cappadocia region.
  • C. 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.
  • D. Trabzon Airport
    Trabzon Airport is a public airport serving the city of Trabzon on Turkey’s northeastern Black Sea coast, handling domestic and limited international flights.
  • E. Konya Airport
    Konya Airport is a combined civil and military airport serving the city of Konya in central Turkey.
  • 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_69aed9484fb881909146f4c772ad277c completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af01dbe9808190aefdc89e426cc4de completed March 9, 2026, 5:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56b850d588190a0fc4b784bc7ca4f completed March 14, 2026, 2:07 p.m.
Created at: March 9, 2026, 3:41 p.m.