Triple

T4109552
Position Surface form Disambiguated ID Type / Status
Subject Erzurum Province E88537 entity
Predicate hasPopulationCenter P2106 FINISHED
Object Aziziye E327369 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: Aziziye | Statement: [Erzurum Province, hasPopulationCenter, Aziziye]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aziziye
Context triple: [Erzurum Province, hasPopulationCenter, Aziziye]
  • A. Aziziye district chosen
    Aziziye district is an administrative district within Erzurum Province in eastern Turkey, known for its cold climate and proximity to the city of Erzurum.
  • B. Tanta
    Tanta is a small Andean town in Peru known for its high-altitude landscapes and traditional rural life within the Nor Yauyos-Cochas scenic reserve.
  • C. Tanta
    Tanta is a major city in northern Egypt that serves as an important commercial and transportation hub in the Nile Delta.
  • D. Omdurman
    Omdurman is a major city in Sudan, historically significant as a cultural and commercial center and effectively forming part of the country’s greater capital area.
  • E. Ismailia
    Ismailia is a city in northeastern Egypt on the west bank of the Suez Canal, known for its strategic location, colonial-era architecture, and role as an administrative center for the canal zone.
  • 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_69aed9484fb881909146f4c772ad277c completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af01dbe9808190aefdc89e426cc4de completed March 9, 2026, 5:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5a83aaabc81908a204008ebe292b2 completed March 14, 2026, 6:26 p.m.
Created at: March 9, 2026, 3:41 p.m.