Triple
T33842578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gapuwiyak |
E867393
|
entity |
| Predicate | hasSecondaryEducationAccess |
P197323
|
FINISHED |
| Object | boarding schools in other towns |
—
|
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: boarding schools in other towns | Statement: [Gapuwiyak, hasSecondaryEducationAccess, boarding schools in other towns]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSecondaryEducationAccess Context triple: [Gapuwiyak, hasSecondaryEducationAccess, boarding schools in other towns]
-
A.
hasSecondaryEducationAccessIn
chosen
Indicates that an entity has access to secondary-level education within a specified location or jurisdiction.
-
B.
hasSecondarySchoolLevel
Indicates that an entity possesses or is associated with a level of education corresponding to secondary school.
-
C.
hasSecondaryEducationFacilityType
Indicates the type or category of secondary education facility associated with an entity.
-
D.
hasHigherEducationAccess
Indicates that one entity has access to higher education opportunities or institutions relative to another entity or context.
-
E.
hasPrimaryAndSecondarySchool
Indicates that an entity provides or includes both primary-level and secondary-level schooling within its educational offerings.
- 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_69f34992ad40819087760ed939bd2a7a |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ff9361943c81909544203cbc998a69 |
completed | May 9, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69ff913138a08190b59bdc9d8d199eb3 |
completed | May 9, 2026, 7:55 p.m. |
Created at: May 1, 2026, 1:47 a.m.