Triple
T5427307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Destiny USA |
E121393
|
entity |
| Predicate | rankingBySizeInUSA |
P31652
|
FINISHED |
| Object | one of the largest 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 malls in the United States by gross leasable area | Statement: [Destiny USA, rankingBySizeInUSA, one of the largest malls in the United States by gross leasable area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankingBySizeInUSA Context triple: [Destiny USA, rankingBySizeInUSA, one of the largest malls in the United States by gross leasable area]
-
A.
areaRankInUS
Indicates the relative position of an entity in a ranking of areas within the United States, based on its size.
-
B.
rankingInCountryBySize
chosen
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.
rankByPopulationInUnitedStates
Indicates the relative ordering of entities based on their population size within the United States.
-
E.
frequencyRankInUnitedStates
Indicates the relative position of something in an ordered list based on how frequently it occurs 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_69bd463c65f0819082ee6483ab4b466a |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd8911a7348190ad9378a248190f07 |
completed | March 20, 2026, 5:51 p.m. |
| PD | Predicate disambiguation | batch_69bd846b8bdc81909dcdc2a3084226f2 |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 2:06 p.m.