Triple
T12630100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cher (department) |
E301616
|
entity |
| Predicate | containsCommune |
P15149
|
FINISHED |
| Object | Saint-Amand-Montrond |
E197089
|
NE FINISHED |
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: Saint-Amand-Montrond | Statement: [Cher (department), containsCommune, Saint-Amand-Montrond]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saint-Amand-Montrond Context triple: [Cher (department), containsCommune, Saint-Amand-Montrond]
-
A.
Saint-Amand-Montrond
chosen
Saint-Amand-Montrond is a small French town known for its historic architecture and role as a local economic and cultural center in central France.
-
B.
Montriond
Montriond is a small Alpine village and ski resort area in the Haute-Savoie department of southeastern France, known for its proximity to Morzine and the Portes du Soleil ski domain.
-
C.
Chamalières
Chamalières is a commune in central France, near Clermont-Ferrand, known historically as a spa town and for its residential character.
-
D.
Monistrol-sur-Loire
Monistrol-sur-Loire is a commune in south-central France situated along the Loire River in the Haute-Loire department of the Auvergne-Rhône-Alpes region.
-
E.
Lorcé
Lorcé is a small village in the municipality of Stoumont in the province of Liège, Belgium.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d7bdeaf49c8190b13800111fa77ea3 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9610ce9e48190a496824002c0d2be |
completed | April 10, 2026, 8:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65edcdd208190893b3046c3e9d327 |
completed | May 2, 2026, 8:30 p.m. |
Created at: April 9, 2026, 5:15 p.m.