Triple

T9530106
Position Surface form Disambiguated ID Type / Status
Subject Eastern Black Sea Region of Turkey E229865 entity
Predicate hasCity P316 FINISHED
Object Bayburt E443208 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: Bayburt | Statement: [Eastern Black Sea Region of Turkey, hasCity, Bayburt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bayburt
Context triple: [Eastern Black Sea Region of Turkey, hasCity, Bayburt]
  • A. Bayburt Province chosen
    Bayburt Province is a small, landlocked province in northeastern Turkey known for its mountainous terrain, historic fortresses, and location along the Çoruh River.
  • B. Bartın
    Bartın is a small city and provincial capital in northern Turkey, located near the Black Sea and known for its historic wooden houses and natural surroundings.
  • C. Bitlis
    Bitlis is a historic city in eastern Turkey known for its dramatic mountainous setting, medieval stone architecture, and strategic location along ancient trade routes.
  • D. Sinop Province
    Sinop Province is a Black Sea coastal province in northern Turkey known for its historic port city of Sinop, natural landscapes, and maritime heritage.
  • E. Zonguldak
    Zonguldak is a port city on Turkey’s Black Sea coast known historically for its coal mining industry.
  • 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_69ca8479934c81908006d0e6e970ae05 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd98b2de3081909be70d9ab187dce6 completed April 1, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69d9330fa33c8190b507ad18362a6c64 completed April 10, 2026, 5:27 p.m.
Created at: March 30, 2026, 8 p.m.