Triple
T2880209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Starbucks Refreshers |
E56977
|
entity |
| Predicate | positionedRelativeTo |
P42535
|
FINISHED |
| Object | lower in caffeine than traditional coffee beverages |
—
|
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: lower in caffeine than traditional coffee beverages | Statement: [Starbucks Refreshers, positionedRelativeTo, lower in caffeine than traditional coffee beverages]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionedRelativeTo Context triple: [Starbucks Refreshers, positionedRelativeTo, lower in caffeine than traditional coffee beverages]
-
A.
relativePosition
Indicates the spatial relationship of one entity’s location with respect to another entity’s position.
-
B.
positionedAgainst
Indicates that one entity is placed so that it directly faces or is set opposite to another entity, often in close or contacting alignment.
-
C.
refersToPosition
Indicates that one entity makes reference to, or is associated with, a specific position or location of another entity.
-
D.
titlePositionRelation
Indicates a relationship specifying how a title is positioned or ordered relative to other titles or elements.
-
E.
positioning
Indicates the spatial or contextual arrangement of one entity relative to another or within a given environment.
- 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_69ab4a4ced288190ab6d3e062d10f7f6 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abe027beb88190ad191dba52b57454 |
completed | March 7, 2026, 8:21 a.m. |
| PD | Predicate disambiguation | batch_69abdd15cbf08190bf7fea5ea516848a |
completed | March 7, 2026, 8:08 a.m. |
| PDg | Predicate description generation | batch_69abdd96670c8190b727f9ac27dadf67 |
completed | March 7, 2026, 8:11 a.m. |
Created at: March 6, 2026, 10:03 p.m.