Triple
T27730050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Java Monster Loca Moca |
E697406
|
entity |
| Predicate | containsAddedSugar |
P193527
|
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: [Java Monster Loca Moca, containsAddedSugar, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsAddedSugar Context triple: [Java Monster Loca Moca, containsAddedSugar, true]
-
A.
hasSugarContent
Indicates that one entity possesses or contains a specified amount or level of sugar.
-
B.
containsSweeteners
Indicates that something includes one or more sweetening substances as part of its composition or contents.
-
C.
hasSugarFreeVariant
Indicates that an item has a corresponding version or option that is formulated without sugar.
-
D.
hasSugarPotential
Indicates that something possesses the capacity or suitability to produce, contain, or be converted into sugar.
-
E.
containsArtificialSweeteners
Indicates that something includes one or more artificial sweetening substances as part of its composition.
- 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_69ef590c3e288190ad54d2465af8ca4e |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69fd49f6dbac81909744373a357b7982 |
completed | May 8, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69fd48ed68f481908374183c66a6b055 |
completed | May 8, 2026, 2:22 a.m. |
| PDg | Predicate description generation | batch_69fd49f612a4819096fe7d5a3bb439ba |
completed | May 8, 2026, 2:27 a.m. |
Created at: April 27, 2026, 3:11 p.m.