Triple
T12895071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vian, Oklahoma |
E308470
|
entity |
| Predicate | hasName |
P744
|
FINISHED |
| Object | Vian |
E63875
|
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: Vian | Statement: [Vian, Oklahoma, hasName, Vian]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vian Context triple: [Vian, Oklahoma, hasName, Vian]
-
A.
Vian
chosen
Vian is a surname most notably associated with British Royal Navy Admiral Philip Vian, who served with distinction during both World Wars.
-
B.
Vianí
Vianí is a municipality and town in the Gualivá Province of the Cundinamarca Department in central Colombia.
-
C.
Vinka
Vinka is a Finnish military training aircraft developed by Valmet for basic pilot instruction.
-
D.
Vianor
Vianor is a tire and car service retail chain owned by Nokian Tyres, operating service centers and shops in multiple countries.
-
E.
Valette
Valette is a French surname most notably associated with Pierre-Adolphe Valette, an influential early 20th-century Impressionist painter and teacher in Manchester.
- 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_69d7bdf7c1f0819098102569a8d8cbf5 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9717d859481908957510babac2d69 |
completed | April 10, 2026, 9:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6a55daf788190be72af98b288bd70 |
completed | May 3, 2026, 1:31 a.m. |
Created at: April 9, 2026, 5:40 p.m.