Triple
T18566196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IFRS 16 Leases |
E453765
|
entity |
| Predicate | lesseeAccountingModel |
P132549
|
FINISHED |
| Object | single on-balance sheet model |
—
|
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: single on-balance sheet model | Statement: [IFRS 16 Leases, lesseeAccountingModel, single on-balance sheet model]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lesseeAccountingModel Context triple: [IFRS 16 Leases, lesseeAccountingModel, single on-balance sheet model]
-
A.
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.
-
B.
accrualMethod
Indicates the method or basis by which something (such as interest, revenue, or benefits) is accumulated or recognized over time.
-
C.
wasLeasedFor
Indicates that one entity was leased in exchange for a specified payment amount, purpose, or consideration.
-
D.
usedForAccounting
Indicates that something is employed in performing, supporting, or managing accounting activities or financial record-keeping.
-
E.
leaseMechanism
Indicates a relationship where one party grants another the right to use an asset or property under specified lease terms and conditions.
- 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_69d8d38974308190a9174430ef256b73 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e53afe3ee081909eeee62c889948f4 |
completed | April 19, 2026, 8:28 p.m. |
| PD | Predicate disambiguation | batch_69e478c16e0c8190b03966aa23c395a6 |
completed | April 19, 2026, 6:40 a.m. |
| PDg | Predicate description generation | batch_69e484121cd48190bf583b4c94636a30 |
completed | April 19, 2026, 7:28 a.m. |
Created at: April 10, 2026, 11:43 a.m.