Triple
T10582920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sleep |
E249779
|
entity |
| Predicate | typicalDurationInAdults |
P94765
|
FINISHED |
| Object | 7 to 9 hours per night |
—
|
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: 7 to 9 hours per night | Statement: [Sleep, typicalDurationInAdults, 7 to 9 hours per night]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalDurationInAdults Context triple: [Sleep, typicalDurationInAdults, 7 to 9 hours per night]
-
A.
typicalDurationDays
Indicates the usual or expected number of days that an associated event, process, or state typically lasts.
-
B.
typicalTestDuration
Indicates the usual or expected length of time required to complete a given test.
-
C.
eraDuration
Indicates the length of time that a particular era or period spans.
-
D.
validityPeriodForAdults
Indicates the time span during which something is considered valid or applicable specifically for adults.
-
E.
intendedDuration
Indicates the planned or expected length of time for which an action, event, or state is meant to occur or remain in effect.
- 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_69d381c9d3d48190a29ee491e1696a0e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d52766d53c8190b51753768ab58c31 |
completed | April 7, 2026, 3:48 p.m. |
| PD | Predicate disambiguation | batch_69d51907b2b881908ab9a8594688ee06 |
completed | April 7, 2026, 2:47 p.m. |
| PDg | Predicate description generation | batch_69d5270eca0481908573b698390c5b08 |
completed | April 7, 2026, 3:47 p.m. |
Created at: April 6, 2026, 12:39 p.m.