Triple
T12037980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EIS officer |
E286587
|
entity |
| Predicate | durationOfTraining |
P29682
|
FINISHED |
| Object | two-year 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: two-year program | Statement: [EIS officer, durationOfTraining, two-year program]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: durationOfTraining Context triple: [EIS officer, durationOfTraining, two-year program]
-
A.
courseLength
chosen
Indicates the duration or total length of a course, typically measured in units such as hours, weeks, or credits.
-
B.
trainingProvidedAt
Indicates that a training activity or program is conducted or delivered at a specific location or venue.
-
C.
typicalDurationDays
Indicates the usual or expected number of days that an associated event, process, or state typically lasts.
-
D.
astronautTrainingPeriod
Indicates the duration or time span during which an individual undergoes astronaut training.
-
E.
approximateCourseLength
Indicates an estimated or rough value for the length or duration of a course rather than an exact measurement.
- 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_69d6ab4669e48190b59246358b0383ab |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9100b4ca8819084845ca4c13e34ce |
completed | April 10, 2026, 2:58 p.m. |
| PD | Predicate disambiguation | batch_69d902bac9e08190aa1a99c835f29542 |
completed | April 10, 2026, 2:01 p.m. |
Created at: April 8, 2026, 9:47 p.m.