Triple
T11072105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philippine Christian University |
E261770
|
entity |
| Predicate | operatesOnBasisOf |
P23
|
FINISHED |
| Object | Christian principles |
—
|
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: Christian principles | Statement: [Philippine Christian University, operatesOnBasisOf, Christian principles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatesOnBasisOf Context triple: [Philippine Christian University, operatesOnBasisOf, Christian principles]
-
A.
operatesBy
chosen
Indicates that an entity performs its function, action, or process through the use or application of another entity (e.g., a method, mechanism, or principle).
-
B.
operatesPrimarilyOn
Indicates that one entity is mainly or chiefly used to act upon, affect, or process another entity.
-
C.
operatesBase
Indicates that an organization or agent runs or manages a primary facility, location, or base of operations.
-
D.
operatesInResponseTo
Indicates that an action or process is carried out as a direct reaction to a specific trigger, event, or condition.
-
E.
operatingModel
Indicates how an organization structures and manages its processes, resources, and governance to deliver its products or services.
- 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_69d6aa9983c08190b0ef61603b69feac |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7994bbb30819090410bd3d0fde33c |
completed | April 9, 2026, 12:19 p.m. |
| PD | Predicate disambiguation | batch_69d74415403c81909778bcd829e8832e |
completed | April 9, 2026, 6:15 a.m. |
Created at: April 8, 2026, 9:26 p.m.