Triple
T13113528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Munzur Mountains |
E311033
|
entity |
| Predicate | drainedBy |
P165
|
FINISHED |
| Object | Munzur River |
E895337
|
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: Munzur River | Statement: [Munzur Mountains, drainedBy, Munzur River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Munzur River Context triple: [Munzur Mountains, drainedBy, Munzur River]
-
A.
Munzur River
chosen
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.
-
B.
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.
-
C.
Kilmez River
The Kilmez River is a waterway in Russia that serves as a tributary within the Kama River basin.
-
D.
Ergun River
The Ergun River is a major river in Northeast Asia that forms part of the border between China and Russia and is one of the headwaters of the Amur River.
-
E.
Cemi River
The Cemi River is a mountain river in the Balkans that flows through the rugged Prokletije range, contributing to the region’s dramatic alpine landscape and hydrology.
- 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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9817f8ee8819084078b4bec5e4f18 |
completed | April 10, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f70a25c3b4819090511525babcd2ba |
completed | May 3, 2026, 8:41 a.m. |
Created at: April 9, 2026, 9:06 p.m.