Triple
T4575949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ASC 842 |
E123140
|
entity |
| Predicate | classificationCategoriesForLessors |
P58070
|
FINISHED |
| Object | sales-type lease |
—
|
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: sales-type lease | Statement: [ASC 842, classificationCategoriesForLessors, sales-type lease]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: classificationCategoriesForLessors Context triple: [ASC 842, classificationCategoriesForLessors, sales-type lease]
-
A.
listedBuildingCategory
Indicates the heritage protection grade or category assigned to a building that is officially recognized as a listed structure.
-
B.
realEstateCategory
Indicates the classification of a property into a specific type or category within real estate (e.g., residential, commercial, industrial).
-
C.
rentalModel
Indicates that one entity is used or provided to another under a specific rental arrangement, defining how the rental relationship is structured or operates.
-
D.
tenantType
Indicates the classification or category of a tenant in a tenancy or rental relationship.
-
E.
ownsOrLeases
Indicates that one entity has legal rights to use or control another entity either through ownership or through a lease agreement.
- 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_69bd46466c7081909d07f36be2d08804 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd58dfe3508190b21836079e951a3c |
completed | March 20, 2026, 2:25 p.m. |
| PD | Predicate disambiguation | batch_69bd5228b70c8190ac48705e35a710c1 |
completed | March 20, 2026, 1:56 p.m. |
| PDg | Predicate description generation | batch_69bd56b4a9508190acdb888eef18f1ee |
completed | March 20, 2026, 2:16 p.m. |
Created at: March 20, 2026, 1:10 p.m.