Triple

T7840498
Position Surface form Disambiguated ID Type / Status
Subject İzmir Province E181790 entity
Predicate contains P35 FINISHED
Object Çiğli E307640 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: Çiğli | Statement: [İzmir Province, contains, Çiğli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Çiğli
Context triple: [İzmir Province, contains, Çiğli]
  • A. Çiğli district chosen
    Çiğli district is a northern urban district of İzmir, Turkey, known for its residential areas, industrial zones, and proximity to key transportation links.
  • B. Gölcük
    Gölcük is a coastal town and district in northwestern Turkey, situated on the Gulf of İzmit and known for its naval base and shipyard.
  • C. Ayvacık
    Ayvacık is a small town and district in Turkey’s Çanakkale Province, known for its traditional stone houses and proximity to the Aegean coast and ancient sites like Assos.
  • D. Gazipaşa
    Gazipaşa is a coastal town and district in Antalya Province, southern Turkey, known for its Mediterranean beaches, agricultural production, and proximity to ancient ruins.
  • E. Yalova
    Yalova is a small coastal city in northwestern Turkey, known for its thermal springs, seaside promenade, and proximity to Istanbul across the Sea of Marmara.
  • 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_69ca8285d6488190a95d4c02d7354b53 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb14c589748190b34d0911d373e194 completed March 31, 2026, 12:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc55f5c7408190823dbe7c59d61ead completed March 31, 2026, 11:17 p.m.
Created at: March 30, 2026, 4:47 p.m.