Triple
T17720592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | General Growth Properties |
E442322
|
entity |
| Predicate | legalFormAfterReorganization |
P64
|
FINISHED |
| Object | Delaware corporation |
—
|
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: Delaware corporation | Statement: [General Growth Properties, legalFormAfterReorganization, Delaware corporation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalFormAfterReorganization Context triple: [General Growth Properties, legalFormAfterReorganization, Delaware corporation]
-
A.
legalFormedAs
Indicates that an entity was established or constituted under a specific legal structure or organizational form.
-
B.
typeOfReorganization
Indicates the specific kind or category of organizational restructuring that is being or has been carried out.
-
C.
previousLegalForm
Indicates the legal form or organizational status an entity had before its current legal form.
-
D.
wasRestructuredInto
Indicates that an entity underwent an organizational or structural change resulting in it becoming a different, successor entity.
-
E.
legalForm
chosen
Indicates the specific legal structure or organizational type under which an entity is formally constituted and recognized by law.
- 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_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. |
Created at: April 10, 2026, 10:07 a.m.