Triple
T16290628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lledoner Pelut |
E395510
|
entity |
| Predicate | usedInBlendWith |
P4791
|
FINISHED |
| Object | Syrah |
E58242
|
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: Syrah | Statement: [Lledoner Pelut, usedInBlendWith, Syrah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Syrah Context triple: [Lledoner Pelut, usedInBlendWith, Syrah]
-
A.
Syrah
chosen
Syrah is a dark-skinned wine grape variety known for producing full-bodied red wines with rich dark fruit flavors, peppery spice, and firm tannins, widely grown in regions such as the Rhône Valley, Australia, and parts of the Americas.
-
B.
Petite Sirah
Petite Sirah is a dark, full-bodied red wine grape variety known for its intense color, firm tannins, and rich, spicy flavors, often used in robust varietal wines and blends.
-
C.
Grenache
Grenache is a widely planted red wine grape variety known for producing fruity, medium-bodied wines, often used in blends in regions such as the Rhône Valley and Spain.
-
D.
Zinfandel
Zinfandel is a robust, fruit-forward red wine grape variety widely associated with bold, spicy wines produced in California.
-
E.
Merlot
Merlot is a popular red wine grape variety known for producing smooth, medium- to full-bodied wines with soft tannins and flavors of plum, black cherry, and chocolate.
- 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_69d87f22c7248190a54c949738441e2e |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2491821d0819086cffdd7551ba85a |
completed | April 17, 2026, 2:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0025fb88488190a2979c75fba67b9d |
completed | May 10, 2026, 6:30 a.m. |
Created at: April 10, 2026, 5:05 a.m.