Triple
T14315388
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern Bug River |
E354942
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Pivdennyi Buh |
E410601
|
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: Pivdennyi Buh | Statement: [Southern Bug River, alsoKnownAs, Pivdennyi Buh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pivdennyi Buh Context triple: [Southern Bug River, alsoKnownAs, Pivdennyi Buh]
-
A.
Pivdennyi Buh
chosen
Pivdennyi Buh is a major river in southwestern Ukraine that flows into the Black Sea and is important for regional ecology, industry, and transportation.
-
B.
Baiul
Baiul is the surname of Oksana Baiul, the Ukrainian figure skater who won the 1994 Olympic ladies' singles gold medal.
-
C.
Bodrog
Bodrog is a river in Central Europe that flows through Slovakia and Hungary before joining the Tisza River.
-
D.
Veres Rivne
Veres Rivne is a Ukrainian professional football club based in the city of Rivne that competes in the national league system.
-
E.
Ségny
Ségny is a small commune in eastern France’s Ain department, situated near the Swiss border in the Auvergne-Rhône-Alpes region.
- 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_69d8278ed42c8190b9f882dcce611347 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8838e45c819080ee69dd39e3bd43 |
completed | April 14, 2026, 6:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4687c6bc819088452892128c420e |
completed | May 8, 2026, 2:12 a.m. |
Created at: April 10, 2026, 1:12 a.m.