Triple
T13590793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dom Pérignon |
E324686
|
entity |
| Predicate | isVintageOnly |
P110191
|
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: [Dom Pérignon, isVintageOnly, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isVintageOnly Context triple: [Dom Pérignon, isVintageOnly, true]
-
A.
lastVintage
Indicates the most recent or final vintage associated with a given entity, such as the latest year or batch in a series of vintages.
-
B.
centuryOfManufacture
Indicates the specific century during which an item was manufactured.
-
C.
isAncient
Indicates that the entity existed or originated in a very distant past, typically far earlier than the commonly referenced historical period.
-
D.
isOnlineOnly
Indicates that the related entity exists, operates, or is accessible exclusively via online or digital channels, with no physical or offline presence.
-
E.
isMilitaryOnly
Indicates that something is restricted exclusively to military use or participation, excluding civilians or non-military entities.
- 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_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb056ce088190a6feb4266633d18b |
completed | April 12, 2026, 2:46 p.m. |
| PD | Predicate disambiguation | batch_69dbae18eaf48190809e8b365856cde9 |
completed | April 12, 2026, 2:37 p.m. |
| PDg | Predicate description generation | batch_69dbaf9f3bdc8190838539aaef1f422b |
completed | April 12, 2026, 2:43 p.m. |
Created at: April 9, 2026, 9:49 p.m.