Triple
T18566441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IFRS 2 Share-based Payment |
E453770
|
entity |
| Predicate | measurementDate |
P1160
|
FINISHED |
| Object | grant date for equity-settled transactions |
—
|
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: grant date for equity-settled transactions | Statement: [IFRS 2 Share-based Payment, measurementDate, grant date for equity-settled transactions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: measurementDate Context triple: [IFRS 2 Share-based Payment, measurementDate, grant date for equity-settled transactions]
-
A.
measuredAt
Indicates the time or point at which a measurement was taken or recorded for an entity or event.
-
B.
dateObserved
chosen
Indicates the specific date on which an event, condition, or measurement was recorded or observed.
-
C.
dataCollectedOn
Indicates that certain data was gathered, recorded, or measured at a specific point in time or on a particular date.
-
D.
dateOf
Indicates that one entity specifies the calendar date associated with another entity, such as when it occurred, was created, or is scheduled.
-
E.
automationDate
Indicates the date on which an action, process, or system becomes automated or is scheduled to be handled automatically.
- 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.