Triple
T3512722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Recruit Training Regiment |
E74232
|
entity |
| Predicate | trainingDuration |
P24633
|
FINISHED |
| Object | approximately 13 weeks |
—
|
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 13 weeks | Statement: [Recruit Training Regiment, trainingDuration, approximately 13 weeks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trainingDuration Context triple: [Recruit Training Regiment, trainingDuration, approximately 13 weeks]
-
A.
courseLength
Indicates the duration or total length of a course, typically measured in units such as hours, weeks, or credits.
-
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.
timeToComplete
Indicates the duration required for an entity or process to be fully completed.
-
D.
typicalDurationDays
Indicates the usual or expected number of days that an associated event, process, or state typically lasts.
-
E.
programLength
chosen
Indicates the duration or total length of a program, typically measured in time or size.
- 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_69ad85cfb5c881909c9a2edd9d6043cc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc10b6b48190bedfed6d34afc425 |
completed | March 8, 2026, 6:12 p.m. |
| PD | Predicate disambiguation | batch_69adae0e770481908528fa35eda53003 |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:19 p.m.