Triple
T23038526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Master IBJJF Jiu-Jitsu Championship |
E573673
|
entity |
| Predicate | ageBracketExample |
P144158
|
FINISHED |
| Object | Master 1 |
—
|
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: Master 1 | Statement: [World Master IBJJF Jiu-Jitsu Championship, ageBracketExample, Master 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ageBracketExample Context triple: [World Master IBJJF Jiu-Jitsu Championship, ageBracketExample, Master 1]
-
A.
ageType
Indicates the specific categorization or classification of an age value (e.g., actual, estimated, range-based) associated with an entity.
-
B.
ageRange
Indicates the span of ages within which an entity or relationship is considered valid or applicable.
-
C.
ageCategoryDefinition
chosen
Indicates the rule or criteria that define how ages are grouped into specific age categories.
-
D.
ageBased
Indicates a relationship or condition that depends on or is determined by the age of the entities involved.
-
E.
ageSystem
Indicates a relationship where one entity specifies or uses a particular system or standard for expressing age (e.g., calendar system, counting convention, or age-measurement method) for another 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_69e245b911188190bc3d96326c847969 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f185111f0881908991fcd6cdc7db9f |
completed | April 29, 2026, 4:12 a.m. |
| PD | Predicate disambiguation | batch_69ef3ba004a48190885aece88efd1f52 |
completed | April 27, 2026, 10:34 a.m. |
Created at: April 17, 2026, 3:53 p.m.