Triple
T19652252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Templeuve-en-Pévèle |
E471843
|
entity |
| Predicate | hasDemonym |
P191
|
FINISHED |
| Object | Templeuvois |
—
|
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: Templeuvois | Statement: [Templeuve-en-Pévèle, hasDemonym, Templeuvois]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Templeuvois Context triple: [Templeuve-en-Pévèle, hasDemonym, Templeuvois]
-
A.
Templeuve
chosen
Templeuve is a commune in northern France, located in the Nord department within the historical region of French Flanders.
-
B.
Thieux
Thieux is a small French commune located in the Seine-et-Marne department in the Île-de-France region in north-central France.
-
C.
Thielle
Thielle is a river in western Switzerland that flows from Lake Biel toward Lake Neuchâtel and forms part of the region’s interconnected lake and waterway system.
-
D.
Louletanos
Louletanos are the inhabitants or natives of Loulé, a town in the Algarve region of southern Portugal.
-
E.
Valleiry
Valleiry is a small French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region in southeastern France, near the Swiss border.
- 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_69e6414327d88190826ab9511f2f8e48 |
completed | April 20, 2026, 3:07 p.m. |
Created at: April 10, 2026, 1:44 p.m.