Triple
T17855913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siva River |
E445935
|
entity |
| Predicate | hasRightTributary |
P415
|
FINISHED |
| Object | Kilmez River |
—
|
NE NERFINISHED |
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: Kilmez River | Statement: [Siva River, hasRightTributary, Kilmez River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kilmez River Context triple: [Siva River, hasRightTributary, Kilmez River]
-
A.
Kilmez River
chosen
The Kilmez River is a waterway in Russia that serves as a tributary within the Kama River basin.
-
B.
Keles River
The Keles River is a Central Asian watercourse that flows through Kazakhstan and Uzbekistan before joining the Syr Darya.
-
C.
Arpaçay River
The Arpaçay River is a transboundary river in the South Caucasus that forms part of the border between Turkey and Armenia, flowing past the medieval ruins of Ani.
-
D.
Ziya River
The Ziya River is a major river in northern China that serves as one of the principal tributaries feeding into the Hai River system.
-
E.
Munzur River
The Munzur River is a prominent river in eastern Turkey known for its scenic valleys, rich biodiversity, and cultural significance to the Alevi communities in the region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9f26f18819089c9e43250bee6ae |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4978bd5e081909e192f6aada5235f |
completed | April 19, 2026, 8:51 a.m. |
Created at: April 10, 2026, 10:17 a.m.