Triple
T34328989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Department of Nursing (California State University, East Bay) |
E880949
|
entity |
| Predicate | sectorOfParent |
P48517
|
FINISHED |
| Object | public university system |
—
|
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: public university system | Statement: [Department of Nursing (California State University, East Bay), sectorOfParent, public university system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sectorOfParent Context triple: [Department of Nursing (California State University, East Bay), sectorOfParent, public university system]
-
A.
sectorOfParentOrganization
chosen
Indicates that the specified sector or industry classification belongs to, or characterizes, the parent organization of the given entity.
-
B.
originSector
Indicates the sector or region from which an entity originally comes or was initiated.
-
C.
sectorOfGovernedEntity
Indicates the economic or administrative sector to which a governed entity (such as a jurisdiction or organization under governance) belongs.
-
D.
parentFrom
Indicates that one entity is the parent (biological, adoptive, or legal) of another entity.
-
E.
belongsToSubsector
Indicates that one entity is part of, or classified within, a more specific subsector of a broader sector or industry.
- 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_69f349ba96a08190b94887bae2d8ee49 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f717836f0c8190b4a397bbac37dd09 |
completed | May 3, 2026, 9:38 a.m. |
| PD | Predicate disambiguation | batch_69f7127a2ff08190b77d00963c9df621 |
completed | May 3, 2026, 9:16 a.m. |
Created at: May 1, 2026, 1:58 a.m.