Triple
T6143917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Woodfield Mall |
E137027
|
entity |
| Predicate | rankingBySizeInUS |
P1891
|
FINISHED |
| Object | one of the largest shopping malls in the United States by gross leasable area |
—
|
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: one of the largest shopping malls in the United States by gross leasable area | Statement: [Woodfield Mall, rankingBySizeInUS, one of the largest shopping malls in the United States by gross leasable area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankingBySizeInUS Context triple: [Woodfield Mall, rankingBySizeInUS, one of the largest shopping malls in the United States by gross leasable area]
-
A.
areaRankInUS
chosen
Indicates the relative position of an entity in a ranking of areas within the United States, based on its size.
-
B.
rankingInCountryBySize
Indicates the position of an entity in an ordered list of entities within a specific country, based on their relative size.
-
C.
rankByPopulationInUS
Indicates the relative ordering of entities based on the size of their populations within the United States.
-
D.
regionRankBySize
Indicates the relative ordering of regions based on their physical size, from largest to smallest (or vice versa).
-
E.
rankByPopulationInUnitedStates
Indicates the relative ordering of entities based on their population size within the United States.
- 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_69c008a2c6308190a56519b22d55d083 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05cb50cb0819081ac64becf7aaf55 |
completed | March 22, 2026, 9:18 p.m. |
| PD | Predicate disambiguation | batch_69c055f39e0881909ae56444b1b48929 |
completed | March 22, 2026, 8:49 p.m. |
Created at: March 22, 2026, 4:16 p.m.