Triple
T27205353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coffee |
E683847
|
entity |
| Predicate | hasGrindSize |
P120526
|
FINISHED |
| Object | Coarse grind |
—
|
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: Coarse grind | Statement: [Coffee, hasGrindSize, Coarse grind]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGrindSize Context triple: [Coffee, hasGrindSize, Coarse grind]
-
A.
grindType
chosen
Indicates the specific way or degree to which something is ground or milled, such as the fineness or style of grinding applied.
-
B.
hasGrainType
Indicates that an entity is characterized by or associated with a specific type of grain.
-
C.
grainSize
Indicates the relative coarseness or fineness of the material or particles involved in the relationship.
-
D.
hasGrainQuality
Indicates that an entity possesses a particular level or type of grain quality, characterizing the quality attributes of its grain.
-
E.
hasGrittiness
Indicates that an entity possesses or exhibits a quality of toughness, resilience, or coarse texture/character.
- 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_69eefad339a08190aeacb2a198f1a39b |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f6691f5e188190b12c7b2eb729a45e |
completed | May 2, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69f66598d6008190a7ca8ff80399fd34 |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 27, 2026, 9:37 a.m.