Triple
T10527987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kappa Alpha Psi |
E248354
|
entity |
| Predicate | hasCollegiateChapters |
P94386
|
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: [Kappa Alpha Psi, hasCollegiateChapters, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCollegiateChapters Context triple: [Kappa Alpha Psi, hasCollegiateChapters, yes]
-
A.
isCollegiateBodyOf
Indicates that one entity functions as the collegiate governing or decision-making body associated with another entity, such as an institution or organization.
-
B.
hasColleges
Indicates that an entity possesses, contains, or is associated with one or more colleges.
-
C.
hasStudentOrganization
Indicates that an entity (such as an institution or department) is associated with or hosts a particular student organization.
-
D.
isIntercollegiate
Indicates that an activity, competition, or relationship occurs between different colleges or universities rather than within a single institution.
-
E.
hasAffiliatedCollegesIn
Indicates that an institution maintains affiliated colleges located within a specified geographic area or jurisdiction.
- F. None of above. chosen
Provenance (4 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_69d381c5c7448190bec34bee7ec72bac |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509f6f4a88190ae6e0cc0bcbff0c5 |
completed | April 7, 2026, 1:43 p.m. |
| PD | Predicate disambiguation | batch_69d4fb94fa10819091f585bab4379c6f |
completed | April 7, 2026, 12:41 p.m. |
| PDg | Predicate description generation | batch_69d4fe06d4a48190b1a45dd1d4e16df0 |
completed | April 7, 2026, 12:52 p.m. |
Created at: April 6, 2026, 12:30 p.m.