Triple
T12081650
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vetluga |
E287693
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Vetluga River |
E56437
|
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: Vetluga River | Statement: [Vetluga, namedAfter, Vetluga River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vetluga River Context triple: [Vetluga, namedAfter, Vetluga River]
-
A.
Vetluga River
chosen
The Vetluga River is a significant waterway in western Russia that flows through several regions before joining the Volga River.
-
B.
Vasyugan River
The Vasyugan River is a significant waterway in southwestern Siberia, Russia, known for draining vast swampy lowlands before joining the Ob River.
-
C.
Votka River
The Votka River is a smaller watercourse in Russia that feeds into the larger Kama River within the Volga basin.
-
D.
Snezhnaya River
The Snezhnaya River is a Siberian river in Russia that serves as one of the tributaries feeding into Lake Baikal.
-
E.
Chusovaya River
The Chusovaya River is a major waterway in the Ural region of Russia, historically important as a trade route linking European Russia with Siberia.
- 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_69d6ab4964708190850585628b287b0c |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d904dc98a88190a5873f3fd8e1a0b2 |
completed | April 10, 2026, 2:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f684c9aa3881908f920422f4f815e1 |
completed | May 2, 2026, 11:12 p.m. |
Created at: April 8, 2026, 9:48 p.m.