Triple
T12284892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mojito |
E292803
|
entity |
| Predicate | typicalBaseSpirit |
P14786
|
FINISHED |
| Object | rum |
—
|
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: rum | Statement: [Mojito, typicalBaseSpirit, rum]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalBaseSpirit Context triple: [Mojito, typicalBaseSpirit, rum]
-
A.
firstSpiritDistilled
Indicates that an entity is the initial spirit or batch produced through a distillation process from another entity.
-
B.
typeOfSpirit
Indicates the specific kind or category of spirit (e.g., ghost, demon, angel) that an entity belongs to.
-
C.
intermediarySpirits
Indicates that one or more spirits act as intermediaries or go-betweens facilitating interaction or influence between other entities.
-
D.
baseSpiritType
chosen
Indicates the type or category of the primary alcoholic spirit that serves as the base in a drink or spirit product.
-
E.
alcoholType
Indicates the specific kind or category of alcohol associated with an entity (e.g., beer, wine, spirits).
- 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_69d6ab690ad081908c0ed3870ec82d53 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d9261e1570819084bb4fdb44aa6aea |
completed | April 10, 2026, 4:32 p.m. |
| PD | Predicate disambiguation | batch_69d91c4d9a9c8190aeb7beaf9792d8f0 |
completed | April 10, 2026, 3:50 p.m. |
Created at: April 8, 2026, 9:52 p.m.