Triple
T26823845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doctor of Pharmacy |
E675322
|
entity |
| Predicate | commonDuration |
P178013
|
FINISHED |
| Object | 4 years professional program |
—
|
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: 4 years professional program | Statement: [Doctor of Pharmacy, commonDuration, 4 years professional program]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commonDuration Context triple: [Doctor of Pharmacy, commonDuration, 4 years professional program]
-
A.
possibleDuration
Indicates the range or specific length of time that an action, event, or state can last or is allowed to last.
-
B.
intendedDuration
Indicates the planned or expected length of time for which an action, event, or state is meant to occur or remain in effect.
-
C.
alternativeDuration
Indicates that there is an additional or substitute time span associated with an event or activity, differing from its primary or standard duration.
-
D.
banDurationApproximate
Indicates that the duration of a ban is known only approximately rather than as an exact, precise time period.
-
E.
typicalDurationDays
Indicates the usual or expected number of days that an associated event, process, or state typically lasts.
- 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_69eee9b6b28481909332f83eb17e5170 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f707f7959881908f037f0d6b1d0c36 |
completed | May 3, 2026, 8:31 a.m. |
| PD | Predicate disambiguation | batch_69f700fc274c8190a128593dc7c7abd0 |
completed | May 3, 2026, 8:02 a.m. |
| PDg | Predicate description generation | batch_69f707f380388190954b79d52a321921 |
completed | May 3, 2026, 8:31 a.m. |
Created at: April 27, 2026, 4:57 a.m.