Triple
T28028495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monster Ultra Paradise |
E708194
|
entity |
| Predicate | linePositioning |
P163640
|
FINISHED |
| Object | zero sugar variant in Monster Ultra line |
—
|
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: zero sugar variant in Monster Ultra line | Statement: [Monster Ultra Paradise, linePositioning, zero sugar variant in Monster Ultra line]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: linePositioning Context triple: [Monster Ultra Paradise, linePositioning, zero sugar variant in Monster Ultra line]
-
A.
linePositioning
Indicates how one line is spatially arranged or oriented in relation to another line.
-
B.
lineLayout
Indicates how elements are arranged or positioned along a line or linear sequence in a layout.
-
C.
positionOnLine
Indicates that one entity occupies a specific location along a defined line or linear path in relation to another.
-
D.
stylePositioning
Indicates how an entity is spatially or visually arranged or aligned relative to a reference frame or other elements.
-
E.
lineConfiguration
Indicates that the entities participate together in a specific arrangement or pattern along a line.
- 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_69ef9b6bdd9c8190bb3a574a03774ad1 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f63c709b7c81909afc14cb51f43bb8 |
completed | May 2, 2026, 6:03 p.m. |
| PD | Predicate disambiguation | batch_69f63710d17c819084cfe96e6df334fd |
completed | May 2, 2026, 5:40 p.m. |
| PDg | Predicate description generation | batch_69f63893cc188190883ac9321a95d2dc |
completed | May 2, 2026, 5:46 p.m. |
Created at: April 27, 2026, 8:14 p.m.