Triple
T909541
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stanley |
E19626
|
entity |
| Predicate | timeToCompleteCourse |
P17474
|
FINISHED |
| Object | approximately 6 hours |
—
|
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 6 hours | Statement: [Stanley, timeToCompleteCourse, approximately 6 hours]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeToCompleteCourse Context triple: [Stanley, timeToCompleteCourse, approximately 6 hours]
-
A.
timeToComplete
chosen
Indicates the duration required for an entity or process to be fully completed.
-
B.
spentTimeIn
Indicates that an entity has spent a certain amount or period of time in a particular place or context.
-
C.
durationUntil
Indicates the length of time remaining from a given starting point until a specified future event or state occurs.
-
D.
typicalDurationDays
Indicates the usual or expected number of days that an associated event, process, or state typically lasts.
-
E.
durationInitial
Indicates the initial length of time associated with an event, state, or process at its starting point.
- 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_69a4939f91a08190ba68c2c81eab90fe |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b2f605bc8190a5245aa2ca55cf43 |
completed | March 1, 2026, 9:43 p.m. |
| PD | Predicate disambiguation | batch_69a4b2918ea881908698020b995a8eae |
completed | March 1, 2026, 9:41 p.m. |
Created at: March 1, 2026, 7:39 p.m.