Triple

T1737526
Position Surface form Disambiguated ID Type / Status
Subject Volyn Oblast E37952 entity
Predicate containsCity P294 FINISHED
Object Kovel E211354 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: Kovel | Statement: [Volyn Oblast, containsCity, Kovel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kovel
Context triple: [Volyn Oblast, containsCity, Kovel]
  • A. Kovel chosen
    Kovel is a historic town in northwestern Ukraine, located in the Volyn region and known as a former important railway and trade hub.
  • B. Opava
    Opava is a historic city in the Czech Republic’s Silesian region, known as a former political and cultural center of Silesia.
  • C. Beroun
    Beroun is a historic town in the Czech Republic known for its medieval architecture, scenic location at the confluence of the Berounka and Litavka rivers, and proximity to the Bohemian Karst nature reserve.
  • D. Karviná
    Karviná is an industrial city in the Moravian-Silesian Region of the Czech Republic, historically part of Cieszyn Silesia and known for its coal mining heritage.
  • E. Mikolow
    Mikolow is a town in southern Poland’s Silesian Voivodeship, known for its historic center and proximity to the regional capital Katowice.
  • 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_69a8861cc6ac8190ac0b2e31ccf62851 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa63a47cd481909c211e4da7f5dfe9 completed March 6, 2026, 5:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae030371e88190982c822a460d3e47 completed March 8, 2026, 11:15 p.m.
Created at: March 4, 2026, 7:30 p.m.