Triple
T415175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Auvergne-Rhône-Alpes |
E9576
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Moulins |
E29623
|
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: Moulins | Statement: [Auvergne-Rhône-Alpes, containsCity, Moulins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moulins Context triple: [Auvergne-Rhône-Alpes, containsCity, Moulins]
-
A.
Moulins
chosen
Moulins is a historic town in central France known for its well-preserved medieval architecture and cultural heritage.
-
B.
Vallauris
Vallauris is a town in the French Riviera renowned for its pottery tradition and its association with Pablo Picasso, who lived and worked there for several years.
-
C.
Modane
Modane is a French Alpine town in the Savoie department known as a key transit point through the Fréjus Road and Rail Tunnels between France and Italy.
-
D.
Velay
Velay is a historical and geographical region in south-central France, known for its volcanic landscapes, traditional agriculture, and medieval heritage within the broader Massif Central area.
-
E.
Boncourt
Boncourt is a locality known for its historic Château de Boncourt, reflecting its cultural and architectural heritage.
- 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_69a2e80111fc8190961d5b7c6154123f |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2ee8d835881908403ea23901e52b3 |
completed | Feb. 28, 2026, 1:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a481e969f481908cc6732b4c6aaad6 |
completed | March 1, 2026, 6:14 p.m. |
Created at: Feb. 28, 2026, 1:09 p.m.