Triple
T19341968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Denominazione di Origine Controllata |
E483775
|
entity |
| Predicate | lowerClassificationAbbreviation |
P135486
|
FINISHED |
| Object | IGT |
—
|
LITERAL 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: IGT | Statement: [Denominazione di Origine Controllata, lowerClassificationAbbreviation, IGT]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lowerClassificationAbbreviation Context triple: [Denominazione di Origine Controllata, lowerClassificationAbbreviation, IGT]
-
A.
lowestCategory
Indicates that an entity belongs to the most specific or least general category within a classification hierarchy.
-
B.
lowerCourseName
Indicates that the course’s name is represented in all lowercase characters.
-
C.
lowerTerminus
Indicates that one entity serves as the lower endpoint or downstream terminus of another entity, such as a route, segment, or connection.
-
D.
lowerTierName
Indicates that one entity is identified as the name or label of a lower or subordinate tier within a hierarchical structure relative to another entity.
-
E.
gradeAbbreviation
Indicates that one entity is an abbreviated or shortened form of another entity’s grade designation.
- F. None of above. chosen
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_69d8e8d244f8819080eb1f3491300db2 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e6185795bc8190a63061ca794c0d67 |
completed | April 20, 2026, 12:13 p.m. |
| PD | Predicate disambiguation | batch_69e4dd12303c8190a2027c062b2dff40 |
completed | April 19, 2026, 1:48 p.m. |
| PDg | Predicate description generation | batch_69e4df51ac6c819091ce72b07790ffa6 |
completed | April 19, 2026, 1:57 p.m. |
Created at: April 10, 2026, 1:33 p.m.