Triple
T22516658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tiger Radler |
E556664
|
entity |
| Predicate | containsFruitComponent |
P104053
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Tiger Radler, containsFruitComponent, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsFruitComponent Context triple: [Tiger Radler, containsFruitComponent, true]
-
A.
containsCitrusComponent
Indicates that something includes, as part of its composition or contents, one or more components derived from citrus sources.
-
B.
hasFruitType
Indicates that an entity possesses or is associated with a specific type or category of fruit.
-
C.
fruitAdheresTo
Indicates that a fruit is physically attached or sticks to another surface or object.
-
D.
containsCitrusJuice
Indicates that one substance or product includes citrus juice as a component or ingredient.
-
E.
containsJuice
chosen
Indicates that one entity has juice inside it or as one of its contents.
- 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_69e11e5657e881909f16ca58352c50da |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15e2df59c81909c4ae2f20f1cbb32 |
completed | April 29, 2026, 1:26 a.m. |
| PD | Predicate disambiguation | batch_69ee625e3b408190a60c759fb0b28fe2 |
completed | April 26, 2026, 7:07 p.m. |
Created at: April 16, 2026, 8:50 p.m.