Triple
T6648430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DipABRSM diploma |
E150758
|
entity |
| Predicate | typicalDurationOfRecital |
P72029
|
FINISHED |
| Object | approximately 35 minutes |
—
|
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: approximately 35 minutes | Statement: [DipABRSM diploma, typicalDurationOfRecital, approximately 35 minutes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalDurationOfRecital Context triple: [DipABRSM diploma, typicalDurationOfRecital, approximately 35 minutes]
-
A.
typicalRecordingDuration
Indicates the usual or standard length of time that something is recorded.
-
B.
hasRecitalsCount
Indicates the number of recitals associated with a given entity.
-
C.
eraDuration
Indicates the length of time that a particular era or period spans.
-
D.
typicalDurationDays
Indicates the usual or expected number of days that an associated event, process, or state typically lasts.
-
E.
typicalPerformance
Indicates the usual or characteristic level at which an entity performs under normal 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_69c687f1a3048190828b7342f7125d5c |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6cc9c6cb0819084fec8e0beb430de |
completed | March 27, 2026, 6:29 p.m. |
| PD | Predicate disambiguation | batch_69c6ad04d66c8190926ffcbff372643b |
completed | March 27, 2026, 4:15 p.m. |
| PDg | Predicate description generation | batch_69c6cc988c0081909d22b86ca299331c |
completed | March 27, 2026, 6:29 p.m. |
Created at: March 27, 2026, 2 p.m.