Triple
T18566193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IFRS 16 Leases |
E453765
|
entity |
| Predicate | measurementBasisForRightOfUseAsset |
P7051
|
FINISHED |
| Object | cost 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: cost model | Statement: [IFRS 16 Leases, measurementBasisForRightOfUseAsset, cost model]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: measurementBasisForRightOfUseAsset Context triple: [IFRS 16 Leases, measurementBasisForRightOfUseAsset, cost model]
-
A.
usedAsBasisFor
chosen
Indicates that one entity serves as the foundation, reference, or starting point upon which another entity is developed, derived, justified, or constructed.
-
B.
measurementSetting
Indicates the specific conditions, parameters, or configuration under which a measurement is taken or recorded.
-
C.
licensingBasisIncludes
Indicates that one licensing basis incorporates or contains another licensing basis as part of its governing conditions or requirements.
-
D.
measuredAs
Indicates that one entity’s quantity, value, or property is expressed or recorded using another entity as its measurement or unit.
-
E.
basedOnLicense
Indicates that one entity is derived from, uses, or is governed by the terms of another entity’s license.
- 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_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. |
Created at: April 10, 2026, 11:43 a.m.