Triple
T22916203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pan IBJJF Jiu-Jitsu Championship |
E568738
|
entity |
| Predicate | beltRange |
P150230
|
FINISHED |
| Object | white belt to black belt |
—
|
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: white belt to black belt | Statement: [Pan IBJJF Jiu-Jitsu Championship, beltRange, white belt to black belt]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: beltRange Context triple: [Pan IBJJF Jiu-Jitsu Championship, beltRange, white belt to black belt]
-
A.
beltPosition
Indicates the relative placement or alignment of a belt with respect to another object or reference point.
-
B.
beltType
Indicates the specific kind or category of belt associated with an entity.
-
C.
bandType
Indicates the specific kind or category of band that an entity belongs to or is associated with.
-
D.
tierRange
Indicates that one entity specifies the minimum and maximum tier levels within which another entity falls or is applicable.
-
E.
bandCoverage
Indicates the range or extent of frequencies, wavelengths, or channels that a particular band encompasses or provides.
- 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_69e2458d90c88190a58cead4e781ca6a |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18079217481908db98882929ac69a |
completed | April 29, 2026, 3:52 a.m. |
| PD | Predicate disambiguation | batch_69ef3b7c5fc081909ac50c5c8569cc19 |
completed | April 27, 2026, 10:33 a.m. |
| PDg | Predicate description generation | batch_69ef538a115081908982597f79355840 |
completed | April 27, 2026, 12:16 p.m. |
Created at: April 17, 2026, 3:42 p.m.