Triple
T22780180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wado-ryu |
E563814
|
entity |
| Predicate | hasKata |
P149698
|
FINISHED |
| Object | Pinan |
—
|
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: Pinan | Statement: [Wado-ryu, hasKata, Pinan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasKata Context triple: [Wado-ryu, hasKata, Pinan]
-
A.
hasNumberOfKoans
Indicates the relationship that specifies how many koans are associated with or contained by a given entity.
-
B.
hasBlackBeltIn
Indicates that an entity holds a black belt rank or equivalent high-level certification in a specified martial art or discipline.
-
C.
hasWaka
Indicates that an entity possesses, contains, or is associated with a waka (such as a traditional canoe, vessel, or similarly defined object).
-
D.
hasNotableKoan
Indicates that an entity is associated with a particularly significant or well-known koan.
-
E.
hasKPoint
Indicates that an entity possesses or is associated with a specific K-point, typically a designated point in reciprocal or parameter space.
- 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_69e24554497c819080b996e071de27c2 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17c2cab0881908df1d0629b43d350 |
completed | April 29, 2026, 3:34 a.m. |
| PD | Predicate disambiguation | batch_69eed2c32e8c8190b73bb9965ed47d64 |
completed | April 27, 2026, 3:06 a.m. |
| PDg | Predicate description generation | batch_69eeeb5681f88190821129ced752f190 |
completed | April 27, 2026, 4:51 a.m. |
Created at: April 17, 2026, 3:28 p.m.