Triple
T6553016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brunello di Montalcino |
E151173
|
entity |
| Predicate | firstDOCGInItaly |
P59622
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Brunello di Montalcino, firstDOCGInItaly, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstDOCGInItaly Context triple: [Brunello di Montalcino, firstDOCGInItaly, true]
-
A.
firstPublicationIn
Indicates the initial venue, medium, or context in which a work was first published.
-
B.
first
Indicates that one entity precedes all others in an ordered sequence or ranking.
-
C.
firstForCountry
chosen
Indicates that the subject is the first instance or occurrence of its type to happen or exist within the specified country.
-
D.
firstArticulatedIn
Indicates the time or context in which something was originally expressed, formulated, or clearly stated for the first time.
-
E.
firstAppeared
Indicates the earliest known time or context in which an entity was introduced, observed, or came into existence.
- 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.