Triple

T15951853
Position Surface form Disambiguated ID Type / Status
Subject Milas-Bodrum Airport operation E386836 entity
Predicate cityServed P82 FINISHED
Object Milas E1066359 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: Milas | Statement: [Milas-Bodrum Airport operation, cityServed, Milas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Milas
Context triple: [Milas-Bodrum Airport operation, cityServed, Milas]
  • A. Milas chosen
    Milas is a town in southwestern Turkey known for its rich ancient Carian and Roman heritage and numerous archaeological sites.
  • B. Muş
    Muş is a city in eastern Turkey known for its historical significance, traditional Kurdish and Turkish culture, and surrounding mountainous landscapes.
  • C. Malatya
    Malatya is a major city in eastern Turkey known for its apricot production and role as a regional economic and cultural center.
  • D. Kilis
    Kilis is a small Turkish city near the Syrian border known for its strategic location, cross-border trade, and distinctive regional cuisine.
  • E. Cizre
    Cizre is a historic town in southeastern Turkey near the Syrian and Iraqi borders, known as a cultural and commercial center of the Upper Mesopotamian region.
  • 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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156d59f5081909f6a81d578c4e2e8 completed April 16, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a000ec1091c8190a8e4c4db6180129a completed May 10, 2026, 4:51 a.m.
Created at: April 10, 2026, 4:53 a.m.