Triple
T15691937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madison (Splash) |
E380351
|
entity |
| Predicate | canTransform |
P120301
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Madison (Splash), canTransform, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canTransform Context triple: [Madison (Splash), canTransform, yes]
-
A.
hasTransformation
Indicates that one entity changes or is converted into another entity, capturing a transformation process or result.
-
B.
usesTransformation
Indicates that one entity applies or relies on a specific transformation process, method, or function to operate on or convert another entity.
-
C.
hasTransformationType
Indicates that an entity undergoes or is associated with a specific kind or category of transformation.
-
D.
allowsConversionTo
Indicates that one entity permits or enables transformation or change into another specified form or state.
-
E.
canBeAdaptedBy
Indicates that one entity is capable of being modified, adjusted, or tailored for use by another entity.
- 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_69d86d99e860819094b6957cde470f2c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b4d6b5788190883746ee82c799f5 |
completed | April 16, 2026, 10:07 a.m. |
| PD | Predicate disambiguation | batch_69e0051d639481909a10614e8f83e659 |
completed | April 15, 2026, 9:37 p.m. |
| PDg | Predicate description generation | batch_69e0b4d01c9c81909f6b611e8144c838 |
completed | April 16, 2026, 10:07 a.m. |
Created at: April 10, 2026, 4:44 a.m.