Triple
T12707344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mont Mézenc |
E303621
|
entity |
| Predicate | hasNearbyLocality |
P3883
|
FINISHED |
| Object | Borée |
E459068
|
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: Borée | Statement: [Mont Mézenc, hasNearbyLocality, Borée]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Borée Context triple: [Mont Mézenc, hasNearbyLocality, Borée]
-
A.
Boreas
chosen
Boreas is the Greek god of the cold north wind and winter, one of the four Anemoi in ancient Greek mythology.
-
B.
Mistral
Mistral is a strong, cold, and dry northwesterly wind that blows from southern France into the Mediterranean, significantly influencing the climate and weather of the region.
-
C.
Mistral
Mistral is an OpenStack workflow service that lets users define, manage, and execute complex, long-running tasks and processes in the cloud.
-
D.
Mistral
Mistral is the codename for the high-efficiency CPU cores used in Apple’s A11 Bionic system-on-a-chip.
-
E.
Notus
Notus is the Greek god of the warm, stormy south wind, associated with late summer and early autumn weather.
- 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_69d7bdef90d48190b46b88270e780946 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9620663e881908d367170ed6d2c81 |
completed | April 10, 2026, 8:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f671b648f48190a29924c484713fc7 |
completed | May 2, 2026, 9:50 p.m. |
Created at: April 9, 2026, 5:23 p.m.