Triple

T13047796
Position Surface form Disambiguated ID Type / Status
Subject Palandöken district E327368 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: [Palandöken district, partOf, city of Erzurum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: city of Erzurum
Context triple: [Palandöken district, partOf, city of Erzurum]
  • A. 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.
  • B. 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.
  • C. 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.
  • D. Muş
    Muş is a city in eastern Turkey known for its historical significance, traditional Kurdish and Turkish culture, and surrounding mountainous landscapes.
  • E. 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.
  • 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_69d8076e64308190904fb5c93517c901 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d9805125e481908ed56f708de98a9e completed April 10, 2026, 10:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbd8f1308190992c0bd832e1b05e completed May 3, 2026, 4:15 a.m.
Created at: April 9, 2026, 8:57 p.m.