Triple
T37571175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rizal Library |
E934690
|
entity |
| Predicate | supportsUndergraduatePrograms |
P201265
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Rizal Library, supportsUndergraduatePrograms, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsUndergraduatePrograms Context triple: [Rizal Library, supportsUndergraduatePrograms, true]
-
A.
hasUndergraduatePrograms
Indicates that an educational institution offers one or more undergraduate-level academic programs.
-
B.
hasNoUndergraduatePrograms
Indicates that the institution or entity does not offer any undergraduate-level academic programs.
-
C.
hasAcademicProgramsWith
Indicates that two institutions or entities offer or participate in the same or jointly organized academic programs.
-
D.
hasDoctoralPrograms
Indicates that an institution offers one or more doctoral-level academic degree programs.
-
E.
servesAcademicProgramsIn
chosen
Indicates that an institution or service provides academic support, resources, or offerings to the specified academic programs.
- 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_69f76ecd99148190be327e391a70f5b6 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a1553e08190bb7424c448cb1f33 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:17 p.m.