Triple
T735583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NCAA Division I Baseball Committee |
E14922
|
entity |
| Predicate | typeOfSelectionBody |
P4132
|
FINISHED |
| Object | tournament selection committee |
—
|
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: tournament selection committee | Statement: [NCAA Division I Baseball Committee, typeOfSelectionBody, tournament selection committee]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfSelectionBody Context triple: [NCAA Division I Baseball Committee, typeOfSelectionBody, tournament selection committee]
-
A.
hasSelectionBody
chosen
Indicates that an entity includes or is associated with a specific selection body, i.e., the defined content or portion that has been selected.
-
B.
typeOfBody
Indicates that one entity is the classification or kind of physical body that the other entity is.
-
C.
establishesBodyType
Indicates that an entity defines or sets the physical or structural body type of another entity.
-
D.
typeOf
Indicates that one entity is a specific kind, class, or category instance of another more general entity.
-
E.
definesBody
Indicates that one entity specifies or determines the physical structure, form, or composition of another entity’s body.
- 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_69a4934d9930819099eed80096b0597d |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a66820548190b373deb117187c2c |
completed | March 1, 2026, 8:49 p.m. |
| PD | Predicate disambiguation | batch_69a4a4fafee081909bf356854c09aaff |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:37 p.m.