Triple

T15381770
Position Surface form Disambiguated ID Type / Status
Subject Budjak E367820 entity
Predicate containsCity P294 FINISHED
Object Bilhorod-Dnistrovskyi E902604 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: Bilhorod-Dnistrovskyi | Statement: [Budjak, containsCity, Bilhorod-Dnistrovskyi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bilhorod-Dnistrovskyi
Context triple: [Budjak, containsCity, Bilhorod-Dnistrovskyi]
  • A. Bilhorod-Dnistrovskyi chosen
    Bilhorod-Dnistrovskyi is a historic city in southwestern Ukraine known for its ancient Akkerman Fortress and strategic location near the Dniester Estuary.
  • B. Bilhorod
    Bilhorod is a key urban center in the historical Sloboda Ukraine region, known for its regional administrative and cultural significance.
  • C. Dniprodzerzhynsk
    Dniprodzerzhynsk (now officially called Kamianske) is an industrial city in central Ukraine known for its heavy industry and metallurgical enterprises along the Dnieper River.
  • D. Myrhorod
    Myrhorod is a historic city in central Ukraine, known for its mineral springs and as the setting of several stories by writer Nikolai Gogol.
  • E. Voznesensk
    Voznesensk is a city in southern Ukraine known as an industrial and transport center situated 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_69d85a1551a08190ba2caea7cd51c639 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e61928c81908852c355d537ed9c completed April 16, 2026, 1:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffa92e5f5c81908f54e91b7f16607e completed May 9, 2026, 9:37 p.m.
Created at: April 10, 2026, 3:19 a.m.