Triple
T6074771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terra de Miranda |
E135371
|
entity |
| Predicate | hasEducationalInitiative |
P2489
|
FINISHED |
| Object | teaching of Mirandese in local schools |
—
|
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: teaching of Mirandese in local schools | Statement: [Terra de Miranda, hasEducationalInitiative, teaching of Mirandese in local schools]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEducationalInitiative Context triple: [Terra de Miranda, hasEducationalInitiative, teaching of Mirandese in local schools]
-
A.
hasEducationalMission
Indicates that an entity is responsible for or engaged in carrying out an educational purpose, goal, or function.
-
B.
hasEducationalProgram
chosen
Indicates that an entity offers, runs, or is associated with a specific educational program.
-
C.
typeOfInitiative
Indicates that an initiative belongs to or is categorized under a particular type or classification.
-
D.
hasEducationalOrientation
Indicates that one entity is oriented toward, focused on, or characterized by a particular educational approach, philosophy, or direction in relation to another entity.
-
E.
hasEducationServices
Indicates that one entity provides or offers educational services to another entity or within a particular context.
- 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_69c00879e8048190b690717d19c5bc03 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0575d4ed481908eddc88e9b90e22f |
completed | March 22, 2026, 8:55 p.m. |
| PD | Predicate disambiguation | batch_69c049f21fe08190995df3c5c05fb8ea |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:11 p.m.