Triple
T21752976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mangilao |
E536959
|
entity |
| Predicate | hasPublicInstitutionType |
P55410
|
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: [Mangilao, hasPublicInstitutionType, public university]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPublicInstitutionType Context triple: [Mangilao, hasPublicInstitutionType, public university]
-
A.
isPublicInstitution
Indicates that an entity operates as a publicly governed or state-funded institution, typically serving the general public under public law or oversight.
-
B.
hasPrimaryInstitutionType
chosen
Indicates that an entity’s main or principal institutional classification or category is of a specified type.
-
C.
hasNotableInstitutionType
Indicates that an entity is associated with, or characterized by, a particular type or category of notable institution.
-
D.
hasKeyInstitutionType
Indicates that an entity is associated with a specific type or category of key institution.
-
E.
hasInstitutionalSector
Indicates that an entity is associated with, classified under, or belongs to a particular institutional sector within an economic, organizational, or regulatory framework.
- 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_69e0c46eab808190b848242d63a17c47 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f01d8b8b9c8190b1f6a8bc25d69dbb |
completed | April 28, 2026, 2:38 a.m. |
| PD | Predicate disambiguation | batch_69e6969e46088190b13d6e9025775ea3 |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:50 p.m.