Triple
T12964998
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IELTS |
E321237
|
entity |
| Predicate | readingSectionDurationApproximate |
P69213
|
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, readingSectionDurationApproximate, 60 minutes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: readingSectionDurationApproximate Context triple: [IELTS, readingSectionDurationApproximate, 60 minutes]
-
A.
runtimePerChapterApprox
Indicates an approximate amount of time required to complete or experience each chapter.
-
B.
readingAid
Indicates that one entity assists or facilitates another entity’s ability to read or engage in reading activities.
-
C.
approximateCourseLength
chosen
Indicates an estimated or rough value for the length or duration of a course rather than an exact measurement.
-
D.
lengthInMinutes
Indicates the duration of something expressed as a number of minutes.
-
E.
typicalViewingTime
Indicates the usual or most common amount of time an entity is viewed or watched under normal circumstances.
- 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.