Triple
T31673508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Lumiere School |
E808335
|
entity |
| Predicate | boysBasketballLevel |
P21979
|
FINISHED |
| Object | high school prep basketball |
—
|
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: high school prep basketball | Statement: [La Lumiere School, boysBasketballLevel, high school prep basketball]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: boysBasketballLevel Context triple: [La Lumiere School, boysBasketballLevel, high school prep basketball]
-
A.
hasBasketballLevel
chosen
Indicates that an entity possesses a specified level of skill, proficiency, or ranking in basketball.
-
B.
playedHighSchoolBasketballAt
Indicates that a person was a member of and participated on the basketball team of a particular high school.
-
C.
playedHighSchoolBasketballWith
Indicates that two people were teammates on the same high school basketball team.
-
D.
playsCollegeBasketballIn
Indicates that an individual is a member of and competes for a college or university’s basketball team located at a specified institution or place.
-
E.
menBasketballNCAAChampionship
Indicates that one entity won the NCAA men's basketball championship in a given year or season.
- 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_69f348dcf5d48190ac25b1365ae717a8 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6afebd7ec8190ab696f363d84abf0 |
completed | May 3, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69f6aca3dedc81908b519d53d2909868 |
completed | May 3, 2026, 2:02 a.m. |
Created at: April 30, 2026, 11:02 p.m.