Triple

T6846799
Position Surface form Disambiguated ID Type / Status
Subject Gökçeada E157915 entity
Predicate hasSettlement P1068 FINISHED
Object Yeni Bademli E601895 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: Yeni Bademli | Statement: [Gökçeada, hasSettlement, Yeni Bademli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yeni Bademli
Context triple: [Gökçeada, hasSettlement, Yeni Bademli]
  • A. Yeni Bademli chosen
    Yeni Bademli is a village on the Aegean island of Gökçeada (historically known as İmroz) in northwestern Turkey.
  • B. Yenişehir
    Yenişehir is a district and town in Bursa Province in northwestern Turkey, known for its agricultural production and regional airport serving the Bursa area.
  • C. Cihanbeyli
    Cihanbeyli is a town and district in central Turkey known for its location on the Konya Plain and its agriculture-based local economy.
  • D. Muratpaşa
    Muratpaşa is a central district and municipality of the city of Antalya in southern Turkey, known for its coastal location and urban, touristic character.
  • E. Kanık
    Kanık is the surname of the influential Turkish poet Orhan Veli Kanık, a leading figure in modern Turkish literature and the Garip movement.
  • 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_69c6882ed4c081909dc465a7cf8838be completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d7cd0e64819097c9c211df8bce54 completed March 27, 2026, 7:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c72fc931d881908661483836cc059e completed March 28, 2026, 1:32 a.m.
Created at: March 27, 2026, 2:20 p.m.