Triple
T19652224
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Templeuve-en-Pévèle |
E471843
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Pévèle |
—
|
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: Pévèle | Statement: [Templeuve-en-Pévèle, locatedIn, Pévèle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pévèle Context triple: [Templeuve-en-Pévèle, locatedIn, Pévèle]
-
A.
Pévèle
chosen
Pévèle is a rural area in northern France known for its gently rolling farmland, small towns, and role as a traditional cobbled sector in the Paris–Roubaix cycling race.
-
B.
Pelous
Pelous is a French surname most notably borne by former international rugby union player Fabien Pelous.
-
C.
Juprelle
Juprelle is a municipality in the province of Liège in Wallonia, Belgium, known for its rural character and proximity to the city of Liège.
-
D.
Prévonloup
Prévonloup is a small municipality in the canton of Vaud in western Switzerland.
-
E.
Pezou
Pezou is a small commune in the Loir-et-Cher department of central France, situated within the arrondissement of Vendôme.
- 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_69d8e51395348190ac1416d46dfc6db0 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e64141f61c819098fe148581fb1747 |
completed | April 20, 2026, 3:07 p.m. |
Created at: April 10, 2026, 1:44 p.m.