Triple
T1491526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mall of America |
E29589
|
entity |
| Predicate | totalArea |
P175
|
FINISHED |
| Object | approximately 4.2 million 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 4.2 million square feet | Statement: [Mall of America, totalArea, approximately 4.2 million square feet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: totalArea Context triple: [Mall of America, totalArea, approximately 4.2 million square feet]
-
A.
roofArea
Indicates the total surface area covered by the roof of a structure.
-
B.
area
chosen
Indicates that one entity has a measured two-dimensional extent or surface size quantified by another entity.
-
C.
representedArea
Indicates that one entity serves as a representation or depiction of a particular area or region.
-
D.
areaApprox
Indicates that one entity’s area is approximately equal to the area of another entity.
-
E.
hasFloorArea
Indicates that an entity possesses a specified amount of floor space as a measurable area.
- 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_69a498da82e08190ba833330d05f380f |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c6c3ace4819081bc2b86ee2486b6 |
completed | March 1, 2026, 11:07 p.m. |
| PD | Predicate disambiguation | batch_69a4c48902808190a8028d359bcf123e |
completed | March 1, 2026, 10:58 p.m. |
Created at: March 1, 2026, 8:12 p.m.