Triple
T34844106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oakland Regional |
E1004419
|
entity |
| Predicate | bracketFunction |
P181916
|
FINISHED |
| Object | determining one Final Four participant |
—
|
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: determining one Final Four participant | Statement: [Oakland Regional, bracketFunction, determining one Final Four participant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bracketFunction Context triple: [Oakland Regional, bracketFunction, determining one Final Four participant]
-
A.
usesBracket
Indicates that one entity employs or incorporates a bracket as a structural or functional component in relation to another entity.
-
B.
hasBracket
Indicates that one entity possesses, includes, or is associated with a bracket component or structure.
-
C.
bracketStatus
Indicates the current state or condition of a bracket within a structured system or process (e.g., whether it is open, closed, active, or completed).
-
D.
typeOfBracket
Indicates a relationship where one entity specifies the particular kind or category of bracket that another entity is associated with or uses.
-
E.
numberOfBrackets
Indicates the count of brackets associated with or contained in a given entity or structure.
- 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_69f76db97714819099b5bed36fd64e9d |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f782f4f10081908f97f6d0d2dbeec7 |
completed | May 3, 2026, 5:16 p.m. |
| PD | Predicate disambiguation | batch_69f780ff71cc8190a67e71076fbad81a |
completed | May 3, 2026, 5:08 p.m. |
| PDg | Predicate description generation | batch_69f782f416c081908bdd9b1ad456f0e2 |
completed | May 3, 2026, 5:16 p.m. |
Created at: May 3, 2026, 4 p.m.