Triple
T14677907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eskişehir |
E344696
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object | Porsuk 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: Porsuk River | Statement: [Eskişehir, locatedOn, Porsuk River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Porsuk River Context triple: [Eskişehir, locatedOn, Porsuk River]
-
A.
Porsuk River
chosen
The Porsuk River is a significant waterway in western Turkey that flows through the city of Eskişehir before joining the Sakarya River.
-
B.
Wieprz River
The Wieprz River is a major river in eastern Poland that flows through the Lublin region before joining the Vistula River.
-
C.
Tuul River
The Tuul River is a major river in central Mongolia that flows through the capital city, Ulaanbaatar, and plays an important role in the region’s ecology and water supply.
-
D.
Olza River
The Olza River is a Central European river that flows through the historical region of Cieszyn Silesia, forming part of the border between Poland and the Czech Republic.
-
E.
Uono River
The Uono River is a river in Niigata Prefecture, Japan, that flows through the Uonuma region before joining the Shinano River.
- 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_69d822e34b348190ada4d1cdb6c7c226 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb567c2b88190a9639e61b6fba7df |
completed | April 14, 2026, 9:45 p.m. |
Created at: April 10, 2026, 1:27 a.m.