Triple
T31553365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | pearl danio |
E805062
|
entity |
| Predicate | recommendedTankSize |
P81510
|
FINISHED |
| Object | at least 60 liters |
—
|
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: at least 60 liters | Statement: [pearl danio, recommendedTankSize, at least 60 liters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recommendedTankSize Context triple: [pearl danio, recommendedTankSize, at least 60 liters]
-
A.
mainTankCapacity
Indicates the maximum volume of fuel or liquid that the primary tank is designed to hold.
-
B.
cylinderSize
Indicates the size or capacity of a cylindrical object in the relationship.
-
C.
mainTankName
Indicates that the subject entity has the specified name as its primary or main tank designation.
-
D.
tankSizeCriticism
Indicates criticism directed at an entity specifically regarding the size of its tank.
-
E.
recommendedMinimumSize
chosen
Indicates the smallest size that is advised or suggested as a minimum for something to be used or considered appropriate.
- 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_69f348d22e088190ad555d5bd42f9da0 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6afebd7ec8190ab696f363d84abf0 |
completed | May 3, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69f6aca3dedc81908b519d53d2909868 |
completed | May 3, 2026, 2:02 a.m. |
Created at: April 30, 2026, 10:12 p.m.