Triple
T10934958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vègre |
E258307
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object | Vègre |
E258307
|
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: Vègre | Statement: [Vègre, hasNameInLanguage, Vègre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vègre Context triple: [Vègre, hasNameInLanguage, Vègre]
-
A.
Vègre
chosen
The Vègre is a river in northwestern France that flows through the Sarthe department before joining the Eure’s river system as a tributary.
-
B.
Vieussan
Vieussan is a small commune in southern France’s Hérault department, known for its scenic setting along the Orb River amid rugged, wine-growing countryside.
-
C.
Veltro
Veltro is the nickname of the Macchi C.205, an Italian World War II fighter aircraft renowned for its speed and agility.
-
D.
Veggiano
Veggiano is a small municipality in the Veneto region of northern Italy, situated in the province of Padua.
-
E.
Veggli
Veggli is a village in Buskerud county, Norway, known as the main local settlement and service center of the Rollag municipality.
- 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_69d6aa8769b4819082bfe5e61b9017f0 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770aee178819082c1671a37ff7d82 |
completed | April 9, 2026, 9:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e23bee9b208190aee8f938dff3f234 |
completed | April 17, 2026, 1:55 p.m. |
Created at: April 8, 2026, 9:23 p.m.