Triple
T17550667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Musée Joseph-Déchelette |
E427451
|
entity |
| Predicate | operatedBy |
P86
|
FINISHED |
| Object | city of Roanne |
—
|
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: city of Roanne | Statement: [Musée Joseph-Déchelette, operatedBy, city of Roanne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: city of Roanne Context triple: [Musée Joseph-Déchelette, operatedBy, city of Roanne]
-
A.
Roanne
chosen
Roanne is a commune and industrial town in central France, situated on the Loire River and known historically for its textile industry and river port.
-
B.
city of Tours
The city of Tours is a historic city in central France, known for its medieval old town, role as a gateway to the Loire Valley châteaux, and rich cultural heritage.
-
C.
Ville de Moulins
Ville de Moulins is a French municipal authority that administers the town of Moulins in central France, including cultural sites such as Maison Mantin.
-
D.
Vieille-Brioude
Vieille-Brioude is a commune in south-central France, located in the Haute-Loire department within the Auvergne-Rhône-Alpes region.
-
E.
Chapeauroux
Chapeauroux is a river in central France that flows through the Massif Central before joining the Allier.
- 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_69d889df6dc081908f67dbadc03c07ee |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e454656dc08190bba85b93bd07b0a2 |
completed | April 19, 2026, 4:04 a.m. |
Created at: April 10, 2026, 5:50 a.m.