Triple
T8597241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vidal blanc |
E203581
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Vidal 256 blanc |
E203581
|
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: Vidal 256 blanc | Statement: [Vidal blanc, alsoKnownAs, Vidal 256 blanc]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vidal 256 blanc Context triple: [Vidal blanc, alsoKnownAs, Vidal 256 blanc]
-
A.
VIAL
VIAL is the ICAO airport code assigned to Prayagraj Airport in Uttar Pradesh, India.
-
B.
Vitaflo
Vitaflo is a specialized nutrition brand focused on medical foods and dietary products for people with rare metabolic disorders and other complex health conditions.
-
C.
Visperad
Visperad is a Zoroastrian liturgical text and ceremony that expands upon the Yasna ritual with additional invocations to various divine beings.
-
D.
Versonnex
Versonnex is a small commune in the Ain department of eastern France, located near the Swiss border in the Pays de Gex region.
-
E.
Vidal blanc
chosen
Vidal blanc is a hardy white hybrid wine grape, widely used in cool-climate regions to produce aromatic, often off-dry to sweet wines and ice wines.
- 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_69ca832b56948190ba751cec255308f1 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc46cacbe88190b95beeedc9f480b0 |
completed | March 31, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cea8d3fcfc8190bc51a38715ed453e |
completed | April 2, 2026, 5:35 p.m. |
Created at: March 30, 2026, 6:24 p.m.