Triple
T4924420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Numen Flumenque |
E110541
|
entity |
| Predicate | institutionTypeContext |
P303
|
FINISHED |
| Object | private university |
—
|
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: private university | Statement: [Numen Flumenque, institutionTypeContext, private university]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: institutionTypeContext Context triple: [Numen Flumenque, institutionTypeContext, private university]
-
A.
institution
Indicates that one entity is an organization or establishment (such as a school, bank, or government body) that serves as a structured social or functional institution.
-
B.
typeOfInstitution
chosen
Indicates the specific kind or category of institution that an entity belongs to or is classified as.
-
C.
inInstitution
Indicates that an entity is located within, belongs to, or is formally associated with a particular institution.
-
D.
centralInstitutionOf
Indicates that one institution serves as the primary or main institutional center for another entity, such as an organization, system, or region.
-
E.
institutionTypeOfOrganizer
Indicates the type or category of institution to which the organizer of an event or activity belongs.
- 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_69bd4413f9908190afcff44d7929cc4c |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ffeb86c8190a2fabe1ae1d54118 |
completed | March 20, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69bd6c3695c8819094e7ad2f6d4ba1ac |
completed | March 20, 2026, 3:48 p.m. |
Created at: March 20, 2026, 1:30 p.m.