Triple
T15558013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vrbas |
E370919
|
entity |
| Predicate | hasValley |
P650
|
FINISHED |
| Object | Vrbas valley |
E370919
|
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: Vrbas valley | Statement: [Vrbas, hasValley, Vrbas valley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vrbas valley Context triple: [Vrbas, hasValley, Vrbas valley]
-
A.
Kočani Valley
Kočani Valley is a fertile agricultural valley in eastern North Macedonia, known especially for its rice fields and surrounding mountainous landscape.
-
B.
Nišava Valley
Nišava Valley is a geographic region in southeastern Europe shaped by the course of the Nišava River, known for its strategic transport routes and surrounding mountainous landscapes.
-
C.
Vrbas
Vrbas is a town and municipality in the Bačka region of northern Serbia, known as a local administrative, industrial, and transportation center.
-
D.
Vrbas
chosen
Vrbas is a river in western Bosnia and Herzegovina that flows through cities like Banja Luka before joining the Sava River.
-
E.
Vipava Valley
Vipava Valley is a picturesque wine-growing region in western Slovenia known for its mild climate, karst landscapes, and historic villages.
- 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_69d85cc6cf40819091f4a5facee1ebe6 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04dda3ab88190ab383333ce69fe8f |
completed | April 16, 2026, 2:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff56bf8cac81909886de5b82849cb2 |
completed | May 9, 2026, 3:46 p.m. |
Created at: April 10, 2026, 4:09 a.m.