Triple
T26111662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Hall (Mississauga Civic Centre) |
E658713
|
entity |
| Predicate | isProminentSpaceWithin |
P74185
|
FINISHED |
| Object | Mississauga Civic Centre |
—
|
NE NERFINISHED |
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: Mississauga Civic Centre | Statement: [Great Hall (Mississauga Civic Centre), isProminentSpaceWithin, Mississauga Civic Centre]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isProminentSpaceWithin Context triple: [Great Hall (Mississauga Civic Centre), isProminentSpaceWithin, Mississauga Civic Centre]
-
A.
isMajorSpaceWithin
chosen
Indicates that one space functions as the primary or dominant interior area contained within another space.
-
B.
hasSpaceIn
Indicates that one entity occupies or is contained within a physical or conceptual space provided by another entity.
-
C.
isCoveredSpace
Indicates that one space or area is physically sheltered or enclosed by another structure or surface.
-
D.
isSpaceSegmentOf
Indicates that one spatial region or segment is a constituent part or subdivision of a larger spatial extent or segment.
-
E.
hasProminentLocation
Indicates that an entity occupies a highly visible, central, or otherwise notable position within a given space or context.
- 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_69ee5bc20298819099a42be042eb2349 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f61f12b0f08190bc4a16907941864c |
completed | May 2, 2026, 3:58 p.m. |
| PD | Predicate disambiguation | batch_69f61b3a8ae0819090189fbd8eb19f2f |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 26, 2026, 8:02 p.m.