Triple
T17766570
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loire |
E443522
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Rive-de-Gier |
—
|
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: Rive-de-Gier | Statement: [Loire, containsCity, Rive-de-Gier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rive-de-Gier Context triple: [Loire, containsCity, Rive-de-Gier]
-
A.
Rive-de-Gier
chosen
Rive-de-Gier is a commune in central France’s Loire department, historically known for its coal mining and glassmaking industries.
-
B.
Ferrière
Ferrière is a French-language surname of Swiss origin borne by various notable individuals, including social worker and humanitarian Suzanne Ferrière.
-
C.
Pierre-Bénite
Pierre-Bénite is a suburban commune in eastern France located just south of Lyon, known for its residential character and proximity to major urban and industrial areas.
-
D.
Morieux
Morieux is a coastal commune in the Côtes-d'Armor department of Brittany in northwestern France, known for its scenic shoreline along the English Channel.
-
E.
Brioude
Brioude is a historic town in south-central France known for its Romanesque Basilica of Saint-Julien and its location in the Haute-Loire department of the Auvergne region.
- 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_69d8b9edf16c8190a59ebd245d378f4f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e485fccb9881908923564bf319f3c1 |
completed | April 19, 2026, 7:36 a.m. |
Created at: April 10, 2026, 10:11 a.m.