Triple
T21730031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samurai |
E536379
|
entity |
| Predicate | inversionCapability |
P39122
|
FINISHED |
| Object | multiple 360-degree flips |
—
|
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: multiple 360-degree flips | Statement: [Samurai, inversionCapability, multiple 360-degree flips]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inversionCapability Context triple: [Samurai, inversionCapability, multiple 360-degree flips]
-
A.
hasInversionCapability
Indicates that an entity possesses the ability to reverse or invert another entity, state, or process.
-
B.
inversionType
Indicates the specific kind or category of inversion relationship that holds between entities, such as one being the reverse, opposite, or role-swapped form of the other.
-
C.
isCapableOf
chosen
Indicates that an entity has the ability or capacity to perform a particular action or function.
-
D.
hasLendingInstrument
Indicates that an entity possesses or utilizes a specific financial instrument used for lending.
-
E.
isFinancialMechanismFor
Indicates a relationship where one entity serves as the means, instrument, or structure through which another entity is financed, funded, or economically supported.
- 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_69e0c46d3284819099a4f9d5a704eb95 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69effd064fcc819084852b4248f65a81 |
completed | April 28, 2026, 12:19 a.m. |
| PD | Predicate disambiguation | batch_69e6969725bc81908e7ad19619ba2688 |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:48 p.m.