Triple
T33360129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TUP Cavite |
E854190
|
entity |
| Predicate | isInEducationalCategory |
P159735
|
FINISHED |
| Object | state university campus |
—
|
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: state university campus | Statement: [TUP Cavite, isInEducationalCategory, state university campus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isInEducationalCategory Context triple: [TUP Cavite, isInEducationalCategory, state university campus]
-
A.
isInEducationalSystemOf
Indicates that one entity belongs to, is administered by, or operates within the educational system governed by another entity.
-
B.
hasEducationalScope
chosen
Indicates that an entity is associated with a particular educational level, range, or context that defines the scope of its relevance or applicability.
-
C.
isEducational
Indicates that something serves to teach, instruct, or facilitate learning for an audience.
-
D.
hasEducationalUse
Indicates that something is intended to be used for educational or instructional purposes.
-
E.
isInEducationalInstitution
Indicates that one entity is located within, enrolled in, or otherwise present at an educational institution in relation to another.
- 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_69f3496acbc8819099fd0305ecc42080 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6e3156ea48190b604e414665ef351 |
completed | May 3, 2026, 5:54 a.m. |
| PD | Predicate disambiguation | batch_69f6de0b9ba48190887c9eb5d06a2e94 |
completed | May 3, 2026, 5:32 a.m. |
Created at: May 1, 2026, 1:34 a.m.