Triple
T19680241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lambersart |
E472562
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Villeneuve |
—
|
NE NERFINISHED |
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: Villeneuve | Statement: [Lambersart, hasTwinTown, Villeneuve]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Villeneuve Context triple: [Lambersart, hasTwinTown, Villeneuve]
-
A.
Villeneuve
Villeneuve is a small rural town located within the Somerset Region of Queensland, Australia.
-
B.
Villeneuve
chosen
Villeneuve is a Swiss municipality on the eastern shore of Lake Geneva in the canton of Vaud, known as a lakeside gateway to the nearby Chillon Castle and the Vaud Alps.
-
C.
Vallières
Vallières is a commune in the Nord-Est department of Haiti, known as a small rural settlement within the country’s northern region.
-
D.
Valcartier
Valcartier is a locality in Quebec, Canada, best known for its large Canadian Forces military base and nearby recreational facilities.
-
E.
Lavaltrie
Lavaltrie is a suburban municipality in southwestern Quebec, Canada, located northeast of Montreal along the north shore of the Saint Lawrence River.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e514f2e08190ba70a4449519d218 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e641be90788190968a991153ef46a9 |
completed | April 20, 2026, 3:09 p.m. |
Created at: April 10, 2026, 1:45 p.m.