Triple
T17720589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | General Growth Properties |
E442322
|
entity |
| Predicate | peakPortfolioSizeByProperties |
P128718
|
FINISHED |
| Object | over 100 malls |
—
|
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: over 100 malls | Statement: [General Growth Properties, peakPortfolioSizeByProperties, over 100 malls]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: peakPortfolioSizeByProperties Context triple: [General Growth Properties, peakPortfolioSizeByProperties, over 100 malls]
-
A.
brandPortfolioSize
Indicates the number of distinct brands included within an entity’s overall brand portfolio.
-
B.
portfolioConcentration
Indicates the degree to which investments or holdings are focused in a limited number of assets, sectors, or strategies within a portfolio.
-
C.
distributionSize
Indicates the quantity or scale of items or units included in a particular distribution.
-
D.
propertyType_desiredSize
Indicates that a desired or preferred size is specified for a given property type.
-
E.
peakSize
Indicates the magnitude or height of a peak within a given signal, distribution, or dataset.
- 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_69d8b9ec79688190b86bdcef85a7b3aa |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4748520a881908dc3446d33236ff7 |
completed | April 19, 2026, 6:21 a.m. |
| PD | Predicate disambiguation | batch_69e3cde601d4819097903f471f1fe99a |
completed | April 18, 2026, 6:31 p.m. |
| PDg | Predicate description generation | batch_69e3d018227c8190b6624a2199e765e8 |
completed | April 18, 2026, 6:40 p.m. |
Created at: April 10, 2026, 10:07 a.m.