Triple
T4575947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ASC 842 |
E123140
|
entity |
| Predicate | classificationCategoriesForLessees |
P58069
|
FINISHED |
| Object | operating 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: operating lease | Statement: [ASC 842, classificationCategoriesForLessees, operating lease]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: classificationCategoriesForLessees Context triple: [ASC 842, classificationCategoriesForLessees, operating lease]
-
A.
tenantType
Indicates the classification or category of a tenant in a tenancy or rental relationship.
-
B.
listedBuildingCategory
Indicates the heritage protection grade or category assigned to a building that is officially recognized as a listed structure.
-
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.
realEstateCategory
Indicates the classification of a property into a specific type or category within real estate (e.g., residential, commercial, industrial).
-
E.
alsoTenant
Indicates that two or more entities share the status of being tenants, typically occupying the same property or rental arrangement.
- 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.