Triple
T30091717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Super Tuscan wines |
E764751
|
entity |
| Predicate | typicalAppellation |
P161496
|
FINISHED |
| Object | Toscana IGT |
E1899389
|
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: Toscana IGT | Statement: [Super Tuscan wines, typicalAppellation, Toscana IGT]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalAppellation Context triple: [Super Tuscan wines, typicalAppellation, Toscana IGT]
-
A.
appellationType
Indicates the specific kind or category of name or designation applied to an entity.
-
B.
notableAppellation
Indicates that an entity is known by, or commonly referred to with, a particular notable name or title.
-
C.
includesAppellation
Indicates that one entity contains or incorporates another entity’s name, title, or designation as part of its own identification.
-
D.
appellationControl
chosen
Indicates that one entity serves as a controlled or official name, title, or designation for another entity.
-
E.
appellationEnLangue
Indicates that an entity is designated by a specific appellation or name expressed in a given language.
- F. None of above.
Provenance (4 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_69f22473c0fc8190a926a8051b3b378b |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a035ead9ee0819099806d2670dc9c50 |
completed | May 12, 2026, 5:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a274ca21d208190b0f4c9e6efd01b49 |
completed | June 8, 2026, 11:13 p.m. |
| PD | Predicate disambiguation | batch_6a035dc9210c8190a9044c6a53211520 |
completed | May 12, 2026, 5:05 p.m. |
Created at: April 29, 2026, 7:06 p.m.