Triple
T9784966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Senior Airman (USSF enlisted rank) |
E237470
|
entity |
| Predicate | typicalTimeInServiceToAttain |
P90636
|
FINISHED |
| Object | several years |
—
|
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 years | Statement: [Senior Airman (USSF enlisted rank), typicalTimeInServiceToAttain, several years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalTimeInServiceToAttain Context triple: [Senior Airman (USSF enlisted rank), typicalTimeInServiceToAttain, several years]
-
A.
hasTimePeriodOfService
Indicates that an entity is associated with a specific span of time during which it provided service or was actively serving.
-
B.
agingTimeMinimum
Indicates the minimum amount of time that must elapse for something to be considered aged or matured according to a specified standard.
-
C.
typicalDurationDays
Indicates the usual or expected number of days that an associated event, process, or state typically lasts.
-
D.
timeToComplete
Indicates the duration required for an entity or process to be fully completed.
-
E.
typicalTimeInRankBeforePromotion
Indicates the usual duration an individual spends in a given rank or position before being promoted to the next level.
- 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_69ca84da927881909bda80caecad6010 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda1b8b0a481909d9f7a25881d53be |
completed | April 1, 2026, 10:52 p.m. |
| PD | Predicate disambiguation | batch_69cd03d77c6c81909b675955bf113320 |
completed | April 1, 2026, 11:39 a.m. |
| PDg | Predicate description generation | batch_69cd06aa8bc88190904be19c8953def8 |
completed | April 1, 2026, 11:51 a.m. |
Created at: March 30, 2026, 8:27 p.m.