Triple

T21266610
Position Surface form Disambiguated ID Type / Status
Subject Çıralı E524143 entity
Predicate administrativeDistrict P2709 FINISHED
Object Kemer district NE NERFINISHED

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: Kemer district | Statement: [Çıralı, administrativeDistrict, Kemer district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kemer district
Context triple: [Çıralı, administrativeDistrict, Kemer district]
  • A. Kemer chosen
    Kemer is a popular seaside resort town on Turkey’s Mediterranean coast, known for its beaches, marinas, and proximity to the Taurus Mountains.
  • B. Akyaka district
    Akyaka district is an administrative district in northeastern Turkey, situated within Kars Province near the border with Armenia.
  • C. Manavgat District
    Manavgat District is a coastal administrative district in Turkey’s Antalya Province, known for its tourism, beaches, and the Manavgat River and waterfall.
  • D. Meram district
    Meram district is an administrative district and urban area of Konya in central Turkey, known for its historical sites, green spaces, and educational institutions.
  • E. Bergama District
    Bergama District is an administrative district in Turkey’s İzmir Province, centered on the historic town of Bergama, known for its ancient city of Pergamon.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b5156d7881909bd4f83676590715 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e735eca49081908e4f13fcab717c41 completed April 21, 2026, 8:31 a.m.
Created at: April 16, 2026, 4 p.m.