Triple
T28390169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Allendale Campus |
E719131
|
entity |
| Predicate | hasAcademicBuildings |
P40186
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Allendale Campus, hasAcademicBuildings, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAcademicBuildings Context triple: [Allendale Campus, hasAcademicBuildings, yes]
-
A.
hasUniversityBuilding
Indicates that a university possesses, controls, or includes a specific building as part of its physical infrastructure.
-
B.
hasAcademicFacilities
chosen
Indicates that an entity provides or is equipped with academic facilities such as classrooms, laboratories, libraries, or other educational infrastructure.
-
C.
hasRectorateBuilding
Indicates that an institution possesses or is associated with a specific building that houses its rectorate (central administrative leadership).
-
D.
hasAcademicSystem
Indicates that an entity is associated with or operates under a particular academic or educational system.
-
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_69eff6ef211081909d31d9be5f5567e6 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f6b2a65c7c8190ac40f1466ceadefc |
completed | May 3, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f6b14d7d508190bc7d4c89dfba4a32 |
completed | May 3, 2026, 2:22 a.m. |
Created at: April 28, 2026, 1:13 a.m.