Triple
T13590808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dom Pérignon |
E324686
|
entity |
| Predicate | firstVintageReleaseYear |
P110193
|
FINISHED |
| Object | 1936 |
—
|
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: 1936 | Statement: [Dom Pérignon, firstVintageReleaseYear, 1936]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstVintageReleaseYear Context triple: [Dom Pérignon, firstVintageReleaseYear, 1936]
-
A.
firstProductionYear
Indicates the year in which something (such as a product, work, or item) was first produced.
-
B.
firstInscriptionYear
Indicates the year in which an entity was first inscribed, recorded, or officially entered into a relevant register or list.
-
C.
firstVersionYear
Indicates the calendar year in which the first version or initial release of something was created, published, or made available.
-
D.
firstPrototypeYear
Indicates the year in which the first prototype of an entity was created or completed.
-
E.
firstCaptureYear
Indicates the year in which an entity was first captured or recorded as captured.
- 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.