Triple
T31798682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Château Angélus |
E811665
|
entity |
| Predicate | wineCriticReputation |
P23126
|
FINISHED |
| Object | consistently high critical scores |
—
|
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: consistently high critical scores | Statement: [Château Angélus, wineCriticReputation, consistently high critical scores]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wineCriticReputation Context triple: [Château Angélus, wineCriticReputation, consistently high critical scores]
-
A.
wineReputation
chosen
Indicates the perceived quality, prestige, or standing of a wine based on expert opinion, consumer perception, or historical recognition.
-
B.
notableWine
Indicates that a wine is recognized as significant, distinguished, or noteworthy in some context (such as quality, reputation, or historical importance).
-
C.
wineList
Indicates that an entity is a list or collection of wines associated with another entity (such as a restaurant, event, or menu).
-
D.
wineAVA
Indicates that a wine is produced within a specific American Viticultural Area (AVA) designation.
-
E.
wineMarket
Indicates a commercial context or marketplace where wine is bought, sold, or traded.
- 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_69f348e70d188190b4637c5509f81274 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6afebd7ec8190ab696f363d84abf0 |
completed | May 3, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69f6aca3dedc81908b519d53d2909868 |
completed | May 3, 2026, 2:02 a.m. |
Created at: April 30, 2026, 11:41 p.m.