Triple
T12625409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Murat |
E301498
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Massif Central |
E9424
|
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: Massif Central | Statement: [Murat, partOf, Massif Central]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Massif Central Context triple: [Murat, partOf, Massif Central]
-
A.
Massif Central
chosen
The Massif Central is a vast highland region in south-central France characterized by ancient volcanic mountains, plateaus, and deep river valleys.
-
B.
Loire plateau
The Loire plateau is a highland region in central France forming part of the upper Loire River basin, characterized by its elevated landscapes and expansive rural vistas.
-
C.
Auvergne
Auvergne is a historic region in central France known for its volcanic landscapes, rural character, and Romanesque heritage.
-
D.
Monts du Cantal
Monts du Cantal is a large ancient volcanic mountain range in France’s Massif Central, known for its eroded peaks, pastoral landscapes, and central role in the Auvergne volcanic region.
-
E.
Morvan Massif
The Morvan Massif is a heavily forested highland region in central France known for its rounded granite hills, lakes, and protected natural landscapes.
- 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_69d9610a897c8190a96f3c78d4b270a2 |
completed | April 10, 2026, 8:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f69b86935c8190835f6a407be52ae3 |
completed | May 3, 2026, 12:49 a.m. |
Created at: April 9, 2026, 5:14 p.m.