Triple

T11978453
Position Surface form Disambiguated ID Type / Status
Subject SunExpress E285094 entity
Predicate focusCity P164 FINISHED
Object Izmir Adnan Menderes Airport E62986 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: Izmir Adnan Menderes Airport | Statement: [SunExpress, focusCity, Izmir Adnan Menderes Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Izmir Adnan Menderes Airport
Context triple: [SunExpress, focusCity, Izmir Adnan Menderes Airport]
  • A. Adnan Menderes Airport chosen
    Adnan Menderes Airport is the main international airport serving the city of Izmir and the surrounding Aegean region of Turkey.
  • B. Bodrum-Milas Airport
    Bodrum-Milas Airport is an international airport in southwestern Turkey serving the popular tourist destinations of Bodrum and Milas on the Aegean coast.
  • C. Antalya Airport
    Antalya Airport is a major international airport in Turkey that serves the popular Mediterranean resort city of Antalya and its surrounding tourist region.
  • 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. 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.
  • 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_69d6ab2eaeb881909f7914758f859413 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90393cfb08190b5b45d3e5e32fad3 completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63edbcd288190b491a16f2bf8fc62 completed May 2, 2026, 6:13 p.m.
Created at: April 8, 2026, 9:46 p.m.