Triple
T7282407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Operational Training Units |
E163781
|
entity |
| Predicate | timeToCompleteTraining |
P17474
|
FINISHED |
| Object | several months |
—
|
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: several months | Statement: [Operational Training Units, timeToCompleteTraining, several months]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeToCompleteTraining Context triple: [Operational Training Units, timeToCompleteTraining, several months]
-
A.
timeToComplete
chosen
Indicates the duration required for an entity or process to be fully completed.
-
B.
trainingProvidedAt
Indicates that a training activity or program is conducted or delivered at a specific location or venue.
-
C.
intendedDuration
Indicates the planned or expected length of time for which an action, event, or state is meant to occur or remain in effect.
-
D.
typicalAgeAtCompletion
Indicates the age at which an entity (such as a program, activity, or process) is typically completed.
-
E.
coachedUntil
Indicates that one entity served as a coach for another entity or team up to a specified end time or date.
- 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_69c6886093b88190a254b1ce6db8bae7 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eb4d3e3c8190a05cb5af5f52bd75 |
completed | March 27, 2026, 8:40 p.m. |
| PD | Predicate disambiguation | batch_69c6e76c5fbc8190b378830082f11cb0 |
completed | March 27, 2026, 8:24 p.m. |
Created at: March 27, 2026, 2:59 p.m.