Triple

T21327981
Position Surface form Disambiguated ID Type / Status
Subject Akkerman E525812 entity
Predicate currentName P1213 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: [Akkerman, currentName, Bilhorod-Dnistrovskyi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bilhorod-Dnistrovskyi
Context triple: [Akkerman, currentName, 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_69e0b51b90788190a4dd823d962626da completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7ab4d69b4819088649e34213d0b67 completed April 21, 2026, 4:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a09bb3bd9dc8190b7b0c6e41e9ee8e4 completed May 17, 2026, 12:57 p.m.
Created at: April 16, 2026, 4:41 p.m.