Triple
T6553015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brunello di Montalcino |
E151173
|
entity |
| Predicate | DOCGStatusGranted |
P32451
|
FINISHED |
| Object | 1980 |
—
|
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: 1980 | Statement: [Brunello di Montalcino, DOCGStatusGranted, 1980]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: DOCGStatusGranted Context triple: [Brunello di Montalcino, DOCGStatusGranted, 1980]
-
A.
DOCEstablished
Indicates that a document or organization was formally created, founded, or brought into official existence at a specific time or by a specific agent.
-
B.
awardedStatus
Indicates that a particular status, honor, or designation has been formally granted to an entity.
-
C.
grantedStatus
chosen
Indicates that an entity has been officially approved or given a particular status, permission, or privilege.
-
D.
DOCStatus
Indicates the current state or condition of a document within a defined process or lifecycle.
-
E.
statusGrantedOn
Indicates the date or time at which a particular status was officially conferred or became effective for an entity.
- F. None of above.
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_69c687f3fd60819083bfa583e5bcfa71 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6c1b15d3481908ae66e3d7564b352 |
completed | March 27, 2026, 5:43 p.m. |
| PD | Predicate disambiguation | batch_69c6acf6d4148190914b19e9affd8c76 |
completed | March 27, 2026, 4:14 p.m. |
Created at: March 27, 2026, 1:51 p.m.