Triple
T32337343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | School of Communication and Information |
E826209
|
entity |
| Predicate | publicUniversityUnit |
P103920
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [School of Communication and Information, publicUniversityUnit, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: publicUniversityUnit Context triple: [School of Communication and Information, publicUniversityUnit, true]
-
A.
publicUniversityFacultyOf
Indicates that a person serves as a faculty member at a public (state-funded) university.
-
B.
universityUnitType
chosen
Indicates the specific category or type of organizational unit within a university (such as department, faculty, school, or institute) that an entity belongs to.
-
C.
publicUniversityFaculty
Indicates that a person is a member of the faculty (e.g., professor, lecturer, instructor) at a public university.
-
D.
campusUnitOf
Indicates that one entity is an organizational unit or subdivision that belongs to or operates within a particular campus.
-
E.
publicUniversityCampus
Indicates that a university campus is publicly funded or state-operated rather than privately owned.
- 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_69f34913d9048190befaa634025232be |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69feb5e66224819083b87c3707a5a5e0 |
completed | May 9, 2026, 4:19 a.m. |
| PD | Predicate disambiguation | batch_69feb3bd700c8190991ed200cd3c04db |
completed | May 9, 2026, 4:10 a.m. |
Created at: May 1, 2026, 12:48 a.m.