Triple
T2852877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arkhangelsk Oblast |
E63131
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Mezen River |
E386575
|
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: Mezen River | Statement: [Arkhangelsk Oblast, hasPart, Mezen River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mezen River Context triple: [Arkhangelsk Oblast, hasPart, Mezen River]
-
A.
Mezen River
chosen
The Mezen River is a major river in northwestern Russia that flows through the Arkhangelsk Oblast before emptying into the White Sea.
-
B.
Klyazma River
The Klyazma River is a significant waterway in western Russia that flows through several regions, including Moscow Oblast, before joining the Oka River.
-
C.
Byk River
The Byk River is a tributary watercourse in Eastern Europe that flows through Moldova before joining the Dniester River.
-
D.
Votka River
The Votka River is a smaller watercourse in Russia that feeds into the larger Kama River within the Volga basin.
-
E.
Vokhma River
The Vokhma River is a smaller watercourse in Russia that serves as one of the tributaries feeding into the larger Vetluga 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_69ab4c407c408190857d25e027155ce9 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdf5e043c8190ac82112abce7262a |
completed | March 7, 2026, 8:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b595d57bcc8190b2a6e28437a32b93 |
completed | March 14, 2026, 5:07 p.m. |
Created at: March 6, 2026, 10:02 p.m.