Triple
T18566852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IAS 40 |
E453778
|
entity |
| Predicate | measurementModelOptions |
P41880
|
FINISHED |
| Object | fair value 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: fair value model | Statement: [IAS 40, measurementModelOptions, fair value model]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: measurementModelOptions Context triple: [IAS 40, measurementModelOptions, fair value model]
-
A.
measurementSetting
Indicates the specific conditions, parameters, or configuration under which a measurement is taken or recorded.
-
B.
measurementDependsOn
Indicates that one measurement is derived from, influenced by, or requires another measurement in order to be defined or computed.
-
C.
measureType
Indicates the specific kind or category of measurement that characterizes how a quantity or value is assessed.
-
D.
measurementLevel
Indicates the degree or scale at which something is measured or quantified, such as its level, intensity, or magnitude.
-
E.
possibleModel
chosen
Indicates that one entity can serve as a potential or candidate model or template for another entity.
- 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_69e53aff027481909ca7257967967650 |
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.