Triple
T18976318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gigondas |
E464304
|
entity |
| Predicate | influencedBy |
P9
|
FINISHED |
| Object | Mistral wind |
—
|
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: Mistral wind | Statement: [Gigondas, influencedBy, Mistral wind]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mistral wind Context triple: [Gigondas, influencedBy, Mistral wind]
-
A.
Mistral
Mistral is the codename for the high-efficiency CPU cores used in Apple’s A11 Bionic system-on-a-chip.
-
B.
Mistral
chosen
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.
Bora wind
The Bora wind is a cold, dry, and often violent northeasterly wind that blows from the interior highlands toward the Adriatic Sea, especially affecting coastal areas like Trieste.
-
E.
Etesian winds
Etesian winds are strong, dry, seasonal northerly winds that blow over the Aegean Sea and eastern Mediterranean during the summer, bringing cooler, less humid conditions.
- 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_69d8dd008af48190a97ff1c6488edf1b |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d61f96c88190b9a25158e0b012ca |
completed | April 20, 2026, 7:30 a.m. |
Created at: April 10, 2026, noon