Triple

T16699541
Position Surface form Disambiguated ID Type / Status
Subject Proskuriv E405807 entity
Predicate hasAlternativeName P39 FINISHED
Object Проскурів E935102 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: Проскурів | Statement: [Proskuriv, hasAlternativeName, Проскурів]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Проскурів
Context triple: [Proskuriv, hasAlternativeName, Проскурів]
  • A. Proskurov chosen
    Proskurov is the former name of the Ukrainian city now known as Khmelnytskyi, a regional center in western Ukraine.
  • B. Krasyliv
    Krasyliv is a small town in western Ukraine known for its agricultural surroundings and local light industry within Khmelnytskyi Oblast.
  • C. Snihurivka
    Snihurivka is a small town in southern Ukraine known for its agricultural surroundings and strategic location in Mykolaiv Oblast.
  • D. Pryluky
    Pryluky is a historic city in northern Ukraine known for its Cossack heritage and role as a regional cultural and economic center.
  • E. Letychiv
    Letychiv is an urban-type settlement in western Ukraine known for its historic fortress and role as a local administrative center.
  • 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_69d8838db21081909589220fd71440a4 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e383300d108190911e3cba8e07f2dd completed April 18, 2026, 1:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a009d38a1348190bf51af9847a16aa5 completed May 10, 2026, 2:59 p.m.
Created at: April 10, 2026, 5:19 a.m.