Triple
T36925570
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paramita Campus |
E913333
|
entity |
| Predicate | hasAcademicSpaces |
P40186
|
FINISHED |
| Object | classrooms |
—
|
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: classrooms | Statement: [Paramita Campus, hasAcademicSpaces, classrooms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAcademicSpaces Context triple: [Paramita Campus, hasAcademicSpaces, classrooms]
-
A.
hasAcademicFacilities
chosen
Indicates that an entity provides or is equipped with academic facilities such as classrooms, laboratories, libraries, or other educational infrastructure.
-
B.
hasAcademicComponent
Indicates that something includes, involves, or is associated with an academic or educational element as part of its structure or content.
-
C.
hasAcademicBlocks
Indicates that an entity is subject to one or more restrictions or holds that limit or prevent its academic activities or progress.
-
D.
hasAcademicPrecinctRole
Indicates that an entity holds a specific role or position within an academic precinct or campus area.
-
E.
hasAcademicStrengthIn
Indicates that an entity possesses notable ability, proficiency, or strong performance in a particular academic subject or field.
- 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_69f76e896c988190880c130e01303dd4 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fd09840ea88190a2e6d7e577ade717 |
completed | May 7, 2026, 9:52 p.m. |
| PD | Predicate disambiguation | batch_69fd064c49988190afadddbd04d7cb94 |
completed | May 7, 2026, 9:38 p.m. |
Created at: May 3, 2026, 4:13 p.m.