Triple
T10083051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vinnytsia |
E213949
|
entity |
| Predicate | locatedOnRiver |
P165
|
FINISHED |
| Object | Southern Bug |
E86602
|
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: Southern Bug | Statement: [Vinnytsia, locatedOnRiver, Southern Bug]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Southern Bug Context triple: [Vinnytsia, locatedOnRiver, Southern Bug]
-
A.
Southern Bug
chosen
The Southern Bug is a significant river in Ukraine that flows through the central and southern regions before emptying into the Black Sea.
-
B.
Southern Mam
Southern Mam is a regional variety of the Mam Mayan language spoken primarily in parts of Guatemala.
-
C.
Southern Crescent
The Southern Crescent was a famed Southern Railway passenger train that provided luxurious long-distance service between Washington, D.C., and New Orleans during the mid-20th century.
-
D.
March South
March South is an electoral ward forming part of the local government area for the town of March in Cambridgeshire, England.
-
E.
Shoals region
The Shoals region is an area in northwestern Alabama centered around several Tennessee River communities, known for its rich musical heritage and historic recording studios.
- 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_69ca839bf730819086900c323c9b8c95 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd04352d081908f676444cd2d2578 |
completed | April 2, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2b675f4b08190bd8285f210191b93 |
completed | April 5, 2026, 7:22 p.m. |
Created at: March 30, 2026, 9 p.m.