Triple
T24046017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GymCats |
E595520
|
entity |
| Predicate | associatedStudentSection |
P47399
|
FINISHED |
| Object | ZonaZoo |
—
|
NE NERFINISHED |
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: ZonaZoo | Statement: [GymCats, associatedStudentSection, ZonaZoo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedStudentSection Context triple: [GymCats, associatedStudentSection, ZonaZoo]
-
A.
studentSection
Indicates a relationship where a student is enrolled in or associated with a particular course section.
-
B.
studentSectionRole
Indicates the specific role or capacity (e.g., participant, assistant, auditor) that a student holds within a particular course section.
-
C.
associatedWithSection
chosen
Indicates that one entity is linked or connected to a particular section within a larger structure or context.
-
D.
hasStudentSection
Indicates that an entity (such as a course or class) is associated with a specific student section or subgroup of enrolled students.
-
E.
studentSectionName
Indicates that a given student is associated with a specific class section identified by its name.
- 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_69e288c06a908190899cad4531f32c9a |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1d9ca5a18819086da68b69eed8cc1 |
completed | April 29, 2026, 10:13 a.m. |
| PD | Predicate disambiguation | batch_69f1764345388190a3102b62ddb729b4 |
completed | April 29, 2026, 3:08 a.m. |
Created at: April 17, 2026, 10:15 p.m.