Triple
T3005416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spain Park High School |
E81887
|
entity |
| Predicate | hasExtracurricularActivities |
P1855
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Spain Park High School, hasExtracurricularActivities, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasExtracurricularActivities Context triple: [Spain Park High School, hasExtracurricularActivities, yes]
-
A.
hasRecreationActivity
Indicates that an entity provides, includes, or is associated with a particular recreational activity.
-
B.
hasStudentOrganization
chosen
Indicates that an entity (such as an institution or department) is associated with or hosts a particular student organization.
-
C.
hasExtraordinaryExercise
Indicates that an entity engages in an unusually intense, prolonged, or otherwise exceptional level of physical exercise beyond typical norms.
-
D.
hasActivityIn
Indicates that an entity engages in or performs a particular activity within a specified context, location, or domain.
-
E.
hasAlumniInvolvement
Indicates that an entity maintains an ongoing relationship or engagement with its former members or graduates.
- 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_69ad8b1c4de88190a83b7cefaa1f2842 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9a15ad9c81908255003bdb38d603 |
completed | March 8, 2026, 3:47 p.m. |
| PD | Predicate disambiguation | batch_69ad96180eb08190a524c5f458d41382 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 3 p.m.