Triple

T12862936
Position Surface form Disambiguated ID Type / Status
Subject Çiğli E307640 entity
Predicate isSubregionOf P9956 FINISHED
Object Greater İzmir E63867 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: Greater İzmir | Statement: [Çiğli, isSubregionOf, Greater İzmir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Greater İzmir
Context triple: [Çiğli, isSubregionOf, Greater İzmir]
  • A. Izmir Metropolitan Municipality chosen
    Izmir Metropolitan Municipality is the principal local government authority responsible for administering and providing public services in the city and greater metropolitan area of Izmir, Turkey.
  • B. İzmit
    İzmit is a city in northwestern Turkey on the Gulf of İzmit, historically significant as the site of ancient Nicomedia and an important industrial and transportation hub near Istanbul.
  • C. Izmir
    Izmir is a major Turkish coastal city known as an important commercial and cultural hub on the Aegean Sea.
  • D. Nazilli
    Nazilli is a town and district in Turkey’s Aydın Province, known for its agricultural production and location in the fertile Büyük Menderes River valley.
  • E. İzmir Province
    İzmir Province is a coastal region in western Turkey known for its major port city of İzmir, rich ancient history, and significant Aegean tourism and agriculture.
  • 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_69d7bdf5e7cc8190be357278bc5ba3bb completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9708cf6b48190886a99e04d85d348 completed April 10, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd19226eb881908f76134a04e72548 completed May 7, 2026, 10:58 p.m.
Created at: April 9, 2026, 5:37 p.m.