Triple
T22745728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crosstown Shootout |
E562547
|
entity |
| Predicate | studentSectionTraditions |
P67940
|
FINISHED |
| Object | chants and coordinated displays |
—
|
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: chants and coordinated displays | Statement: [Crosstown Shootout, studentSectionTraditions, chants and coordinated displays]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: studentSectionTraditions Context triple: [Crosstown Shootout, studentSectionTraditions, chants and coordinated displays]
-
A.
hasStudentSectionTraditions
chosen
Indicates that a student section is associated with specific recurring customs, rituals, or practices that are traditionally observed.
-
B.
hasStudentTraditions
Indicates that an institution or group maintains specific customs, rituals, or practices that are regularly carried out by its students.
-
C.
studentSectionTraditionsTeam1
Indicates that a student is associated with the first traditions team for their section.
-
D.
studentSection
Indicates a relationship where a student is enrolled in or associated with a particular course section.
-
E.
featuresStudentSections
Indicates that something includes or provides specific sections or groupings designated for students.
- 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_69e245513a5c81908d5cb471b4fc429d |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f179b563e481908804d07fca1777b9 |
completed | April 29, 2026, 3:23 a.m. |
| PD | Predicate disambiguation | batch_69eed2b88d88819096015deb6a648801 |
completed | April 27, 2026, 3:06 a.m. |
Created at: April 17, 2026, 3:23 p.m.