Triple
T6860226
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lara Antipova |
E158257
|
entity |
| Predicate | associatedWithPlace |
P2830
|
FINISHED |
| Object | Urals |
E47138
|
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: Urals | Statement: [Lara Antipova, associatedWithPlace, Urals]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Urals Context triple: [Lara Antipova, associatedWithPlace, Urals]
-
A.
Ural Mountains
chosen
The Ural Mountains are a long mountain range in western Russia that traditionally marks the natural boundary between Europe and Asia.
-
B.
Kavkaz
Kavkaz is a Russian port on the eastern side of the Kerch Strait that serves as a key maritime transport and ferry hub between Russia and Crimea.
-
C.
Ural River
The Ural River is a major river in Russia and Kazakhstan that traditionally marks part of the boundary between the European and Asian continents.
-
D.
Bolshaya Urta River
The Bolshaya Urta River is a smaller watercourse in Russia that serves as one of the tributaries feeding into the Samara River system.
-
E.
Ural region
The Ural region is a historical and geographical area of Russia centered around the Ural Mountains, traditionally seen as a boundary between Europe and Asia and known for its rich mineral resources and industrial centers.
- 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_69c68830cdbc8190a8301c7a9d9f651a |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d8737fac81909fc546ca2bf6a278 |
completed | March 27, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c748b977948190b60a85b93d61794a |
completed | March 28, 2026, 3:19 a.m. |
Created at: March 27, 2026, 2:21 p.m.