Triple

T17070968
Position Surface form Disambiguated ID Type / Status
Subject Yakutiye E414216 entity
Predicate partOf P40 FINISHED
Object city of Erzurum E446160 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: city of Erzurum | Statement: [Yakutiye, partOf, city of Erzurum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: city of Erzurum
Context triple: [Yakutiye, partOf, city of Erzurum]
  • A. city of Erzincan
    The city of Erzincan is an eastern Turkish city in the Upper Euphrates Valley, known for its seismic activity, agricultural production, and proximity to mountainous landscapes.
  • B. Erzurum, Turkey
    Erzurum, Turkey is a historic city in eastern Anatolia known for its Ottoman-era architecture, harsh winters, and role as a regional cultural and educational center.
  • C. Erzurum chosen
    Erzurum is a major city in eastern Turkey known for its historical architecture, harsh winters, and status as a regional cultural and economic center.
  • D. Sivas
    Sivas is a historic city in central Turkey that served as an important political, commercial, and cultural center in Anatolia, especially during the Seljuk and Ottoman periods.
  • E. Muş
    Muş is a city in eastern Turkey known for its historical significance, traditional Kurdish and Turkish culture, and surrounding mountainous landscapes.
  • 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_69d886cef44c8190ba56c44b4e863e64 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbc0982c8190916f9905ddb5e575 completed April 18, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012edbce988190a784448ba8a258a5 completed May 11, 2026, 1:20 a.m.
Created at: April 10, 2026, 5:34 a.m.