Triple
T20747192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yaté |
E510615
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Mont-Dore |
—
|
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: Mont-Dore | Statement: [Yaté, borderedBy, Mont-Dore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mont-Dore Context triple: [Yaté, borderedBy, Mont-Dore]
-
A.
Mont-Dore
Mont-Dore is a spa and ski resort town in central France’s Massif Central, known for its thermal springs and access to the nearby volcanic landscapes.
-
B.
Mont-Dore
chosen
Mont-Dore is a coastal commune and suburb of Nouméa in New Caledonia, known for its mountainous landscapes and residential areas.
-
C.
Puyvert
Puyvert is a small commune in southeastern France, located in the Vaucluse department within the Provence-Alpes-Côte d'Azur region.
-
D.
Longjumeau
Longjumeau is a suburban commune in the southern outskirts of Paris, France, known for its residential character and proximity to major transport routes.
-
E.
Montbéliarde
Montbéliarde is a French dairy cattle breed from the Franche-Comté region, valued for its high-quality milk used in traditional cheeses.
- 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_69e0b4c845e88190b4c5f3ae79291182 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c225c564819088f2461467698095 |
completed | April 21, 2026, 12:17 a.m. |
Created at: April 16, 2026, 12:33 p.m.