Triple
T35527239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IBJJF Brazilian jiu-jitsu competitions |
E1026704
|
entity |
| Predicate | ruleSetType |
P95839
|
FINISHED |
| Object | points-based rule set |
—
|
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: points-based rule set | Statement: [IBJJF Brazilian jiu-jitsu competitions, ruleSetType, points-based rule set]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ruleSetType Context triple: [IBJJF Brazilian jiu-jitsu competitions, ruleSetType, points-based rule set]
-
A.
typeOfRules
chosen
Indicates that one entity specifies or categorizes the kind or category of rules that apply to or are associated with another entity.
-
B.
typeOfRule
Indicates that one rule is classified as a specific kind or category of another, more general rule.
-
C.
rulesBy
Indicates that one entity governs, controls, or exercises authoritative power over another entity.
-
D.
proposedRuleSet
Indicates that one entity has put forward a specific set of rules or guidelines for consideration, adoption, or discussion by another entity or group.
-
E.
styleOfRule
Indicates the stylistic or formatting convention that a particular rule follows or is expressed in.
- 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_69f76dff7e508190b28ceeee770dce23 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7aa699d68819081ed363931894ab3 |
completed | May 3, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69f7a8cec6d48190bebfa884b2f938c0 |
completed | May 3, 2026, 7:58 p.m. |
Created at: May 3, 2026, 4:04 p.m.