Triple
T29669952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trincadeira |
E750639
|
entity |
| Predicate | wineAgingVessel |
P168006
|
FINISHED |
| Object | stainless steel tanks |
—
|
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: stainless steel tanks | Statement: [Trincadeira, wineAgingVessel, stainless steel tanks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wineAgingVessel Context triple: [Trincadeira, wineAgingVessel, stainless steel tanks]
-
A.
wineAgeingPotential
Indicates the capacity or suitability of a wine to improve in quality or maintain desirable characteristics over time with proper aging.
-
B.
wineAgeingPreference
Indicates a preference for how long wine should be aged before consumption or use.
-
C.
possibleFermentationVessel
Indicates that something can serve as a suitable container or environment in which fermentation may take place.
-
D.
primaryFermentationVessel
Indicates that one entity serves as the main container or vessel in which the primary fermentation process of another entity takes place.
-
E.
wineStructure
Indicates the overall sensory framework of a wine, encompassing how its components like acidity, tannin, body, and alcohol are balanced and interact.
- 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_69f0d62418a08190a401b127adf9f8a6 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f671c69b348190807d83fe1f81946f |
completed | May 2, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69f66abfdaf08190a55f14c70be6fd4d |
completed | May 2, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69f66d75a8788190aa9ca2c977429045 |
completed | May 2, 2026, 9:32 p.m. |
Created at: April 28, 2026, 7:04 p.m.