Triple
T13013741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angara River |
E322487
|
entity |
| Predicate | passesNear |
P416
|
FINISHED |
| Object | Listvyanka |
E1004149
|
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: Listvyanka | Statement: [Angara River, passesNear, Listvyanka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Listvyanka Context triple: [Angara River, passesNear, Listvyanka]
-
A.
Listvyanka
chosen
Listvyanka is a small Siberian settlement on the shores of Lake Baikal, known as a popular gateway for visitors exploring the lake and its surrounding natural landscapes.
-
B.
Buchlyvie
Buchlyvie is a small rural village in central Scotland, situated between Stirling and Loch Lomond, known for its agricultural surroundings and historic character.
-
C.
Veklury
Veklury is the brand name for remdesivir, an antiviral medication used primarily to treat COVID-19.
-
D.
Kryklii
Kryklii is a Ukrainian surname most notably borne by politician Vladyslav Kryklii.
-
E.
Vishkanya
Vishkanya is a 1991 Indian Hindi-language horror film known for its supernatural revenge plot and early appearance of actress Riya Sen.
- 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_69d807657e8c8190bd9435ee2f823845 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97ecbb8f4819094d55eb07cb5ad97 |
completed | April 10, 2026, 10:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c11290e08190a41c162d47094203 |
completed | May 3, 2026, 3:29 a.m. |
Created at: April 9, 2026, 8:50 p.m.