Triple
T15340850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vasiliy Lomachenko |
E366789
|
entity |
| Predicate | placeOfBirth |
P1
|
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: [Vasiliy Lomachenko, placeOfBirth, Bilhorod-Dnistrovskyi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bilhorod-Dnistrovskyi Context triple: [Vasiliy Lomachenko, placeOfBirth, 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_69d85a1355608190a6673ddb67231d54 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e12eb7c8190944a260aa1aa9156 |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa11f77788190866e0820d33af588 |
completed | May 9, 2026, 9:03 p.m. |
Created at: April 10, 2026, 3:17 a.m.