Triple
T673913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MIT Club Aikido |
E13037
|
entity |
| Predicate | martialArtStyle |
P10364
|
FINISHED |
| Object | Japanese aikido |
—
|
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: Japanese aikido | Statement: [MIT Club Aikido, martialArtStyle, Japanese aikido]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: martialArtStyle Context triple: [MIT Club Aikido, martialArtStyle, Japanese aikido]
-
A.
choreographyStyle
Indicates the specific style or form of choreography associated with a performance, routine, or choreographic work.
-
B.
hasBlackBeltIn
Indicates that an entity holds a black belt rank or equivalent high-level certification in a specified martial art or discipline.
-
C.
hasFightingStance
Indicates that an entity adopts or is characterized by a particular combat or fighting posture.
-
D.
boxingStance
Indicates the specific posture or positioning a boxer adopts while preparing to fight or engage in boxing actions.
-
E.
isPracticedBy
chosen
Indicates that an activity, skill, or discipline is regularly performed or carried out by a particular entity.
- 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_69a4933d3bf88190972041cd8cf143b9 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4a1b3682c8190a9b9a454480c3446 |
completed | March 1, 2026, 8:29 p.m. |
| PD | Predicate disambiguation | batch_69a49d1a16c48190af89e3b078a4957e |
completed | March 1, 2026, 8:10 p.m. |
Created at: March 1, 2026, 7:36 p.m.