Triple
T35862986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Airén |
E1037004
|
entity |
| Predicate | wineQualityPerception |
P23126
|
FINISHED |
| Object | generally considered simple |
—
|
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: generally considered simple | Statement: [Airén, wineQualityPerception, generally considered simple]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wineQualityPerception Context triple: [Airén, wineQualityPerception, generally considered simple]
-
A.
wineQualityLevelProduced
Indicates the quality level or grade assigned to the wine that is produced in the described production event or process.
-
B.
wineStyleContribution
Indicates how much a given factor or component influences or shapes the overall style or character of a wine.
-
C.
wineStyle
Indicates the stylistic category or type of wine (such as its production style, sweetness, body, or other defining characteristics) associated with an entity.
-
D.
wineReputation
chosen
Indicates the perceived quality, prestige, or standing of a wine based on expert opinion, consumer perception, or historical recognition.
-
E.
wineStyleComparedTo
Indicates a comparison between wines in terms of their style or stylistic characteristics.
- 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_69f76e1d279c8190843e5b64a0a12c3f |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7aa3883d48190b05e3d2da7a017ae |
completed | May 3, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69f7a8d435288190b30b1991fb003121 |
completed | May 3, 2026, 7:58 p.m. |
Created at: May 3, 2026, 4:06 p.m.