Triple
T21701010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Father Saturnino Urios University |
E535654
|
entity |
| Predicate | hasCampusFacilities |
P2465
|
FINISHED |
| Object | chapel |
—
|
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: chapel | Statement: [Father Saturnino Urios University, hasCampusFacilities, chapel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCampusFacilities Context triple: [Father Saturnino Urios University, hasCampusFacilities, chapel]
-
A.
hasCampusFeature
chosen
Indicates that a campus possesses or includes a specific physical or functional feature.
-
B.
campusFacility
Indicates that one entity is a facility that is located on or belongs to a particular campus.
-
C.
hasAcademicFacilities
Indicates that an entity provides or is equipped with academic facilities such as classrooms, laboratories, libraries, or other educational infrastructure.
-
D.
offCampusFacilityOf
Indicates a relationship where a facility is located off the main campus and is associated with, operated by, or belonging to a particular institution or campus.
-
E.
hasFacilities
Indicates that an entity possesses, provides, or is equipped with certain facilities or physical resources.
- 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_69e0c46b44c0819088ab883ebd44e0e8 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef9b802e008190a68ec62b98512794 |
completed | April 27, 2026, 5:23 p.m. |
| PD | Predicate disambiguation | batch_69e6969113cc8190ab69855ef5667e4b |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:45 p.m.