Triple
T15510509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sisak |
E368695
|
entity |
| Predicate | river |
P165
|
FINISHED |
| Object | Kupa River |
E445572
|
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: Kupa River | Statement: [Sisak, river, Kupa River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kupa River Context triple: [Sisak, river, Kupa River]
-
A.
Kupa River
chosen
The Kupa River is a central European river flowing through Croatia and Slovenia, known for passing through cities like Karlovac and forming part of the Croatia–Slovenia border.
-
B.
Drino River
The Drino River is a river in southern Albania that flows through Gjirokastër County and is a tributary of the Vjosë River.
-
C.
Bega River
The Bega River is a waterway in southeastern New South Wales, Australia, that flows through the town of Bega before reaching the Tasman Sea.
-
D.
Piva River
The Piva River is a striking turquoise waterway in northwestern Montenegro, renowned for its deep canyon, hydroelectric dam, and scenic role within the Durmitor mountain region.
-
E.
Malše River
The Malše River is a river in Central Europe that flows through Austria and the Czech Republic, joining the Vltava River near the city of České Budějovice.
- 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_69d85a1794cc8190b0b428716296e63e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03fd008708190a3657863eb9ac626 |
completed | April 16, 2026, 1:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a003c4303888190a93830ef534715ae |
completed | May 10, 2026, 8:05 a.m. |
Created at: April 10, 2026, 3:55 a.m.