Triple
T12285085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ramos Fizz |
E292807
|
entity |
| Predicate | citrusComponent |
P104051
|
FINISHED |
| Object | lemon juice |
—
|
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: lemon juice | Statement: [Ramos Fizz, citrusComponent, lemon juice]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: citrusComponent Context triple: [Ramos Fizz, citrusComponent, lemon juice]
-
A.
containsCitricAcid
Indicates that one entity includes citric acid as a component or ingredient within it.
-
B.
fruitAdheresTo
Indicates that a fruit is physically attached or sticks to another surface or object.
-
C.
fruitCharacteristic
Indicates that a specified characteristic or property is attributed to a particular fruit.
-
D.
fruitEnclosure
Indicates a relationship where an enclosure, container, or structure is specifically used to hold, protect, or surround fruit.
-
E.
عاصر
Indicates that one entity lived in the same historical period or was a contemporary of another entity.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69d9261b7f088190b69fe6961015fce3 |
completed | April 10, 2026, 4:32 p.m. |
Created at: April 8, 2026, 9:52 p.m.