Triple
T25122355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dallas Hall |
E629298
|
entity |
| Predicate | campusPlanningRole |
P141230
|
FINISHED |
| Object | visual focal point of SMU main quadrangle |
—
|
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: visual focal point of SMU main quadrangle | Statement: [Dallas Hall, campusPlanningRole, visual focal point of SMU main quadrangle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: campusPlanningRole Context triple: [Dallas Hall, campusPlanningRole, visual focal point of SMU main quadrangle]
-
A.
campusRole
Indicates the specific position, function, or capacity an individual holds within a campus or academic institution.
-
B.
campusQuadrangleRole
chosen
Indicates the specific functional or contextual role that a quadrangle plays within a campus setting.
-
C.
campusNetworkRole
Indicates the specific function or responsibility an entity has within a campus network environment.
-
D.
governsCampus
Indicates that one entity has administrative or authoritative control over the operations and policies of a campus.
-
E.
campusOwner
Indicates that one entity owns, controls, or is responsible for a particular campus.
- 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_69e2ff3288048190bd82c3b7f7bd0e62 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f465cd44188190827d138b292a411a |
completed | May 1, 2026, 8:35 a.m. |
| PD | Predicate disambiguation | batch_69f44d8043b081908bbffd7f044b4f26 |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 18, 2026, 6:28 a.m.