Triple
T9582315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Прямухино |
E231202
|
entity |
| Predicate | locatedOnRiver |
P165
|
FINISHED |
| Object | река Осуга |
E281028
|
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: река Осуга | Statement: [Прямухино, locatedOnRiver, река Осуга]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: река Осуга Context triple: [Прямухино, locatedOnRiver, река Осуга]
-
A.
Osuga River
chosen
The Osuga River is a watercourse in Russia that flows through the Tver Oblast region, passing near the village of Pryamukhino.
-
B.
Kurumoch River
The Kurumoch River is a smaller watercourse in Russia that serves as a tributary within the Samara River basin.
-
C.
Yoshii River
The Yoshii River is a significant river in Japan that serves as one of the main tributaries feeding the larger Shinano River system.
-
D.
Yoshii River
The Yoshii River is a significant river in Okayama Prefecture, Japan, known for flowing through several cities and supporting local agriculture and ecosystems before emptying into the Seto Inland Sea.
-
E.
Shura-Ozen River
The Shura-Ozen River is a watercourse in the Republic of Dagestan, Russia, that flows through the city of Buynaksk and forms part of the region’s local river system.
- 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_69ca848161688190a68d514a0a9d5129 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd99cd59008190888eb11f00f61994 |
completed | April 1, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d96af89e48819093a6c149ac988391 |
completed | April 10, 2026, 9:26 p.m. |
Created at: March 30, 2026, 8:05 p.m.