Triple
T16998921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paper Mate Clearpoint |
E412387
|
entity |
| Predicate | availableBarrelColor |
P126108
|
FINISHED |
| Object | blue |
—
|
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: blue | Statement: [Paper Mate Clearpoint, availableBarrelColor, blue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: availableBarrelColor Context triple: [Paper Mate Clearpoint, availableBarrelColor, blue]
-
A.
liquorColor
Indicates the characteristic color or hue associated with a particular liquor.
-
B.
hasBottleColor
Indicates that an entity is associated with a bottle characterized by a specific color.
-
C.
colorOfLiquor
Indicates the specific color or hue that a given liquor possesses.
-
D.
barrelLengthsAvailable
Indicates that there are one or more barrel length options available for the referenced item or entity.
-
E.
numberOfBarrels
Indicates the quantity or count of barrels associated with a given entity or context.
- 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_69d886cb581c8190ab05f4b429c9cd85 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d37cd6248190a7202ae754882640 |
completed | April 18, 2026, 6:54 p.m. |
| PD | Predicate disambiguation | batch_69e35d552bc08190af17ef7659e094ef |
completed | April 18, 2026, 10:30 a.m. |
| PDg | Predicate description generation | batch_69e378e037c88190935d732e0f10d5d7 |
completed | April 18, 2026, 12:28 p.m. |
Created at: April 10, 2026, 5:32 a.m.