Triple
T6049862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Redefining the Possible |
E134761
|
entity |
| Predicate | sectorOfInstitution |
P52289
|
FINISHED |
| Object | public 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: public university | Statement: [Redefining the Possible, sectorOfInstitution, public university]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sectorOfInstitution Context triple: [Redefining the Possible, sectorOfInstitution, public university]
-
A.
regionOfInstitution
Indicates that a specified region is the geographic area in which an institution is located or operates.
-
B.
universitySectionOf
Indicates that one entity is a specific section, division, or part within a larger university.
-
C.
typeOfInstitution
Indicates the specific kind or category of institution that an entity belongs to or is classified as.
-
D.
schoolSector
chosen
Indicates the educational sector or category (such as public, private, or charter) to which a school belongs.
-
E.
sectorOfParentOrganization
Indicates that the specified sector or industry classification belongs to, or characterizes, the parent organization of the given entity.
- 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_69c00876a69881908088a2626d3b2666 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c056f4f84c8190a7e2416d81b3554c |
completed | March 22, 2026, 8:54 p.m. |
| PD | Predicate disambiguation | batch_69c049edc6f0819092ca620d9073ad26 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:09 p.m.