Triple
T12964999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IELTS |
E321237
|
entity |
| Predicate | writingSectionDurationApproximate |
P51781
|
FINISHED |
| Object | 60 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: 60 minutes | Statement: [IELTS, writingSectionDurationApproximate, 60 minutes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: writingSectionDurationApproximate Context triple: [IELTS, writingSectionDurationApproximate, 60 minutes]
-
A.
intendedDuration
Indicates the planned or expected length of time for which an action, event, or state is meant to occur or remain in effect.
-
B.
writingSectionStatus
Indicates the current state or progress of a specific writing section within a larger document or workflow.
-
C.
workLength
Indicates the duration or length of time associated with a particular work or task.
-
D.
banDurationApproximate
Indicates that the duration of a ban is known only approximately rather than as an exact, precise time period.
-
E.
lengthInMinutes
chosen
Indicates the duration of something expressed as a number of minutes.
- 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_69d80763bd6c819094437da5b20b01d2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e59a4c88190907d05b8d57dae89 |
completed | April 10, 2026, 10:48 p.m. |
| PD | Predicate disambiguation | batch_69d97dba57988190b786ffed55687a72 |
completed | April 10, 2026, 10:46 p.m. |
Created at: April 9, 2026, 8:27 p.m.