Triple
T19640910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El Camino Fundamental High School |
E471529
|
entity |
| Predicate | hasExtracurricularType |
P20949
|
FINISHED |
| Object | athletics |
—
|
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: athletics | Statement: [El Camino Fundamental High School, hasExtracurricularType, athletics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasExtracurricularType Context triple: [El Camino Fundamental High School, hasExtracurricularType, athletics]
-
A.
hasExtracurricularProgram
Indicates that an institution or organization offers one or more organized extracurricular programs or activities beyond its primary curriculum or mission.
-
B.
hasAcademicActivityType
Indicates that an academic activity is classified as belonging to a specific type or category of academic work.
-
C.
hasActivityType
chosen
Indicates the specific kind or category of activity associated with an entity or event.
-
D.
hasExerciseType
Indicates that an exercise or workout is associated with a specific type or category of physical activity.
-
E.
hasRecreationType
Indicates that an entity is associated with or offers a particular type or category of recreational activity.
- 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_69d8e511f28481909f4bc3ea9191e54a |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e6412224d481909524d7654a36d49b |
completed | April 20, 2026, 3:07 p.m. |
| PD | Predicate disambiguation | batch_69e514e5cb108190ae260e466c447314 |
completed | April 19, 2026, 5:46 p.m. |
Created at: April 10, 2026, 1:44 p.m.