Triple
T33319166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PIRGs |
E853091
|
entity |
| Predicate | hasNotableStudentAffiliate |
P131047
|
FINISHED |
| Object | student PIRGs |
—
|
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: student PIRGs | Statement: [PIRGs, hasNotableStudentAffiliate, student PIRGs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableStudentAffiliate Context triple: [PIRGs, hasNotableStudentAffiliate, student PIRGs]
-
A.
hasNotableAffiliation
Indicates that an entity is significantly associated or connected with another entity, such as an organization, group, or institution, in a way that is noteworthy or distinguished.
-
B.
hasNotableFacultyAlumnus
Indicates that an individual is a distinguished former student who is recognized as notable faculty at a given institution.
-
C.
hasNotableStudentCommunity
chosen
Indicates that an institution is characterized by a student body that is particularly active, prominent, or widely recognized for its engagement or impact.
-
D.
hasNotableAlumniInstitution
Indicates that an institution is associated with one or more notable alumni who previously attended or graduated from it.
-
E.
hasNotableAlumniType
Indicates that an entity has notable alumni belonging to a specified category or type.
- 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_69f349685f088190b8fda44083a018a9 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a01a9e333fc819087d583ff319be0b3 |
completed | May 11, 2026, 10:05 a.m. |
| PD | Predicate disambiguation | batch_6a01a877c9e08190b0678618d3533286 |
completed | May 11, 2026, 9:59 a.m. |
Created at: May 1, 2026, 1:33 a.m.