Triple
T1065023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mardi Gras celebrations |
E22989
|
entity |
| Predicate | hasDrink |
P13854
|
FINISHED |
| Object | cocktails |
—
|
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: cocktails | Statement: [Mardi Gras celebrations, hasDrink, cocktails]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDrink Context triple: [Mardi Gras celebrations, hasDrink, cocktails]
-
A.
favoriteDrink
Indicates that one entity has a preferred beverage over others.
-
B.
madeWithAlcohol
Indicates that something is created, prepared, or produced using alcohol as an ingredient or component.
-
C.
traditionalDrink
Indicates that one entity is a beverage customarily consumed within the culture, heritage, or longstanding practices associated with another entity.
-
D.
drinksLegalAge
Indicates that an entity has reached the minimum legal age required to consume alcoholic beverages.
-
E.
has
chosen
Indicates that one entity possesses, owns, contains, or includes another entity as part of its state or composition.
- 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_69a493dada0481909c43649f9843ea91 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b90f91248190ace1534a51b82bdd |
completed | March 1, 2026, 10:09 p.m. |
| PD | Predicate disambiguation | batch_69a4b7359eb881909c868a558861cc18 |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:42 p.m.