Triple
T7203830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coffee-Mate |
E148614
|
entity |
| Predicate | isLabeledAs |
P21560
|
FINISHED |
| Object | non-dairy (in the U.S.) |
—
|
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: non-dairy (in the U.S.) | Statement: [Coffee-Mate, isLabeledAs, non-dairy (in the U.S.)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isLabeledAs Context triple: [Coffee-Mate, isLabeledAs, non-dairy (in the U.S.)]
-
A.
hasLabel
Indicates that an entity is associated with a specific textual label or name used to identify or describe it.
-
B.
labelOf
chosen
Indicates that one entity serves as the name, tag, or identifying label assigned to another entity.
-
C.
hasLabelSet
Indicates that an entity is associated with a specific collection or set of labels.
-
D.
usedInLabeling
Indicates that something is employed or applied as part of a labeling process or activity.
-
E.
associatedWithLabel
Indicates that an entity is connected or related to a particular label or tag used to categorize or identify it.
- 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_69c687e8cf188190b5f3ecffd681f04e |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6e94bfb2c81909ab492757435fce4 |
completed | March 27, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69c6e757fed4819091b0a096e3befc3a |
completed | March 27, 2026, 8:23 p.m. |
Created at: March 27, 2026, 2:52 p.m.