Triple
T12169498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enercare Centre |
E289919
|
entity |
| Predicate | columnFreeExhibitSpace |
P9481
|
FINISHED |
| Object | 1000000 square feet |
—
|
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: 1000000 square feet | Statement: [Enercare Centre, columnFreeExhibitSpace, 1000000 square feet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: columnFreeExhibitSpace Context triple: [Enercare Centre, columnFreeExhibitSpace, 1000000 square feet]
-
A.
exhibitionSpaceType
Indicates the specific kind or category of space used to display or present exhibitions.
-
B.
isOpenSpace
Indicates that a given area or location is an unobstructed, accessible space rather than an enclosed or confined one.
-
C.
hasExhibitionArea
chosen
Indicates that an entity includes or provides a designated space or area for exhibitions or displays.
-
D.
gallerySpace
Indicates that one entity serves as a gallery or exhibition space for displaying the other entity.
-
E.
canExhibit
Indicates that one entity has the ability or potential to display, manifest, or show a particular property, behavior, or characteristic.
- 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_69d6ab4d6c00819095a9a7c35de83cfb |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d91621ca6c81908365732f361aef13 |
completed | April 10, 2026, 3:24 p.m. |
| PD | Predicate disambiguation | batch_69d9150e85348190b9b47cda4a17dcd0 |
completed | April 10, 2026, 3:19 p.m. |
Created at: April 8, 2026, 9:50 p.m.