Triple

T16699528
Position Surface form Disambiguated ID Type / Status
Subject Proskuriv E405807 entity
Predicate formerNameOf P65 FINISHED
Object Khmelnytskyi E244078 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: Khmelnytskyi | Statement: [Proskuriv, formerNameOf, Khmelnytskyi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Khmelnytskyi
Context triple: [Proskuriv, formerNameOf, Khmelnytskyi]
  • A. Khmelnytskyi chosen
    Khmelnytskyi is a regional city in western Ukraine known as an important administrative, economic, and cultural center.
  • B. Kropyvnytskyi
    Kropyvnytskyi is a regional city in central Ukraine known as an important administrative, cultural, and transportation center.
  • C. Zhytomyr
    Zhytomyr is a historic city in northwestern Ukraine known as an important regional center and the birthplace of pioneering rocket engineer Sergei Korolev.
  • D. Ivano-Frankivsk
    Ivano-Frankivsk is a historic city in western Ukraine known as a cultural, economic, and administrative center of the Carpathian region.
  • E. Vinnytsia
    Vinnytsia is a major city in central Ukraine known as an important administrative, economic, and cultural center on the Southern Bug River.
  • 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_6a00919ee61c81909928dd26270e9614 completed May 10, 2026, 2:09 p.m.
Created at: April 10, 2026, 5:19 a.m.