Triple
T36153159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UFC Featherweight Champion |
E1045647
|
entity |
| Predicate | requiresDiscipline |
P178896
|
FINISHED |
| Object | striking arts |
—
|
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: striking arts | Statement: [UFC Featherweight Champion, requiresDiscipline, striking arts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: requiresDiscipline Context triple: [UFC Featherweight Champion, requiresDiscipline, striking arts]
-
A.
attractsDiscipline
Indicates a relationship where one entity draws or brings about discipline, order, or self-control in another entity.
-
B.
disciplineRequirement
chosen
Indicates that one entity imposes or specifies a required level or type of discipline that another entity must meet or adhere to.
-
C.
regulatesDiscipline
Indicates that one entity establishes or enforces rules, standards, or controls governing the conduct or discipline of another entity.
-
D.
followsDiscipline
Indicates that one entity adheres to, practices, or complies with a particular discipline, set of rules, or structured methodology associated with another entity.
-
E.
strongInDiscipline
Indicates that an entity possesses a high level of strength, skill, or proficiency in a particular discipline or field.
- 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_69f76e38903c8190a52887620f90aabe |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69ffcf46fd688190907fd1ceb499a8d1 |
completed | May 10, 2026, 12:20 a.m. |
| PD | Predicate disambiguation | batch_69ffccde2a8c81908e055e74077dbd19 |
completed | May 10, 2026, 12:10 a.m. |
Created at: May 3, 2026, 4:08 p.m.