Triple
T14497675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unzha River |
E359544
|
entity |
| Predicate | hasTributary |
P415
|
FINISHED |
| Object | Vokhma River |
E380079
|
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: Vokhma River | Statement: [Unzha River, hasTributary, Vokhma River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vokhma River Context triple: [Unzha River, hasTributary, Vokhma River]
-
A.
Vokhma River
chosen
The Vokhma River is a smaller watercourse in Russia that serves as one of the tributaries feeding into the larger Vetluga River system.
-
B.
Votka River
The Votka River is a smaller watercourse in Russia that feeds into the larger Kama River within the Volga basin.
-
C.
Sogozha River
The Sogozha River is a waterway in Russia that serves as one of the tributaries feeding the Rybinsk Reservoir, an important artificial lake on the Volga River system.
-
D.
Lyokh River
The Lyokh River is a lesser-known watercourse in northwestern Russia that feeds into the larger Pechora River system.
-
E.
Yeruslan River
The Yeruslan River is a waterway in southwestern Russia that flows through the Saratov region, including the town of Krasny Kut, before ultimately draining toward the Volga basin.
- 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_69d8279740308190af9df93a3af8592e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de9311cc748190880c784f173b7f2b |
completed | April 14, 2026, 7:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a009d20a42c819090319629544fa349 |
completed | May 10, 2026, 2:58 p.m. |
Created at: April 10, 2026, 1:21 a.m.