Triple
T6366035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Arts (University of Calgary) |
E143231
|
entity |
| Predicate | fieldCluster |
P11740
|
FINISHED |
| Object | arts and humanities |
—
|
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: arts and humanities | Statement: [Faculty of Arts (University of Calgary), fieldCluster, arts and humanities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fieldCluster Context triple: [Faculty of Arts (University of Calgary), fieldCluster, arts and humanities]
-
A.
arealCluster
Indicates that entities belong to the same spatially contiguous or closely grouped geographic area.
-
B.
fieldWithin
Indicates that one field or area is spatially contained entirely within the boundaries of another field or area.
-
C.
fieldIntersection
chosen
Indicates that two or more fields or domains share a common overlapping area or set of elements.
-
D.
fieldAdvanced
Indicates that a particular field or attribute has progressed beyond a basic or standard level, reflecting a more complex, specialized, or developed state.
-
E.
fieldDivision
Indicates a relationship where a larger field or area is partitioned into smaller sections or subdivisions.
- 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_69c008d8c61081908bcaf61510d881ed |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c068106e18819087ed2e9841d2b365 |
completed | March 22, 2026, 10:07 p.m. |
| PD | Predicate disambiguation | batch_69c060ee055081908c79a1d151bd74cd |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:32 p.m.