Triple

T9530076
Position Surface form Disambiguated ID Type / Status
Subject Eastern Black Sea Region of Turkey E229865 entity
Predicate hasMajorCity P316 FINISHED
Object Gümüşhane E595406 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: Gümüşhane | Statement: [Eastern Black Sea Region of Turkey, hasMajorCity, Gümüşhane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gümüşhane
Context triple: [Eastern Black Sea Region of Turkey, hasMajorCity, Gümüşhane]
  • A. Gümüşhane chosen
    Gümüşhane is a small city in northeastern Turkey known for its mountainous landscape, mining history, and traditional stone architecture.
  • B. Kalecik
    Kalecik is a district and town in central Turkey known for its historic architecture and the locally famous Kalecik Karası grape variety.
  • C. Muratlı
    Muratlı is a town and district in Turkey’s Thrace region, located within Tekirdağ Province and known for its agricultural and industrial activities.
  • D. Keçiören
    Keçiören is a densely populated metropolitan district and municipality of Ankara, known as one of the capital city’s major residential and commercial areas.
  • E. Kırcaali
    Kırcaali (Kardzhali) is a city in southern Bulgaria known as a regional center in the Eastern Rhodope Mountains with a significant historical Turkish population.
  • 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_69d20cbe7fb88190a945870540d4c973 completed April 5, 2026, 7:18 a.m.
Created at: March 30, 2026, 8 p.m.