Triple
T2748923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | L’Absinthe |
E60935
|
entity |
| Predicate | depictsDrink |
P1581
|
FINISHED |
| Object | absinthe |
—
|
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: absinthe | Statement: [L’Absinthe, depictsDrink, absinthe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictsDrink Context triple: [L’Absinthe, depictsDrink, absinthe]
-
A.
drinks
Indicates that one entity consumes a liquid substance, typically by ingesting it through the mouth.
-
B.
traditionalDrink
Indicates that one entity is a beverage customarily consumed within the culture, heritage, or longstanding practices associated with another entity.
-
C.
depicts
chosen
Indicates that one entity visually represents, portrays, or shows another entity.
-
D.
depictsName
Indicates that something visually represents or portrays the name of an entity.
-
E.
featuresBeverage
Indicates that one entity includes, offers, or presents a particular beverage as part of its contents, services, or 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_69ab4b79846081909096725374d65ce9 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdb517a00819084fd8f8933a25212 |
completed | March 7, 2026, 8:01 a.m. |
| PD | Predicate disambiguation | batch_69abd829f1e88190aab1d54f87c69714 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:56 p.m.