Triple
T5522208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vyatka |
E144836
|
entity |
| Predicate | regionNameUsedFor |
P65226
|
FINISHED |
| Object | territory around the Vyatka River |
—
|
LITERAL 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: territory around the Vyatka River | Statement: [Vyatka, regionNameUsedFor, territory around the Vyatka River]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionNameUsedFor Context triple: [Vyatka, regionNameUsedFor, territory around the Vyatka River]
-
A.
regionName
Indicates the name assigned to a specific geographic or administrative region.
-
B.
regionNamedAfter
Indicates that a geographic region derives its name from a specific person, place, event, or other entity.
-
C.
hasRegionalName
Indicates that an entity is known by a specific name or designation within a particular region or locality.
-
D.
countryOrRegionUsed
Indicates that something is used within, or applies to, a specific country or geographic region.
-
E.
region1
Indicates that one entity is the first or primary region associated with, containing, or encompassing another entity.
- F. None of above. chosen
Provenance (4 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_69c008f873a481909b4d9f7e2db3c37d |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f73cc8c8190a92a839c1ca804c7 |
completed | March 22, 2026, 4:57 p.m. |
| PD | Predicate disambiguation | batch_69c01b0a06348190b39ac9fe80d2836a |
completed | March 22, 2026, 4:38 p.m. |
| PDg | Predicate description generation | batch_69c01f051e508190b3886d87b4afdd0b |
completed | March 22, 2026, 4:55 p.m. |
Created at: March 22, 2026, 3:33 p.m.