Triple
T32929383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pavilion Bukit Jalil |
E842360
|
entity |
| Predicate | netLettableArea |
P175409
|
FINISHED |
| Object | approximately 1,800,000 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: approximately 1,800,000 square feet | Statement: [Pavilion Bukit Jalil, netLettableArea, approximately 1,800,000 square feet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: netLettableArea Context triple: [Pavilion Bukit Jalil, netLettableArea, approximately 1,800,000 square feet]
-
A.
networkArea
Indicates that one entity defines, covers, or is responsible for a specific network area associated with another entity.
-
B.
windowArea
Indicates the total surface area occupied by a window (or windows) in a given context.
-
C.
panelArea
Indicates the total surface area covered or occupied by a specific panel.
-
D.
webStandardArea
Indicates that something conforms to or is designated as a standard area within the context of web technologies or web standards.
-
E.
remoteArea
Indicates that an entity is located in or associated with a geographically isolated or sparsely populated area far from urban centers.
- F. None of above. chosen
Provenance (4 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_69f34948adfc8190a937f1f622783c0b |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d1d916f881909575c2b22c416a5b |
completed | May 3, 2026, 4:40 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe5f93c8190995c53dbbe380a32 |
completed | May 3, 2026, 4:32 a.m. |
| PDg | Predicate description generation | batch_69f6d0d331dc8190be5aa6bfc6365e67 |
completed | May 3, 2026, 4:36 a.m. |
Created at: May 1, 2026, 1:20 a.m.