Triple
T3099557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Airborne School |
E64680
|
entity |
| Predicate | badgeLevel |
P2338
|
FINISHED |
| Object | basic parachutist |
—
|
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: basic parachutist | Statement: [Airborne School, badgeLevel, basic parachutist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: badgeLevel Context triple: [Airborne School, badgeLevel, basic parachutist]
-
A.
badge
Indicates that one entity confers, displays, or is associated with a symbolic mark or emblem representing status, achievement, role, or affiliation in relation to another entity.
-
B.
designationLevel
Indicates the specific rank, tier, or level assigned to an entity within a designation or classification system.
-
C.
qualificationBadge
chosen
Indicates that an entity has been awarded or holds a specific qualification badge signifying a certified skill, status, or achievement.
-
D.
badgeText
Indicates that a visual badge or label is associated with an entity, displaying specific text content.
-
E.
honorLevel
Indicates the degree or status of respect, distinction, or recognition accorded to an entity relative to others.
- 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_69ad857dc98481909e585dc3372e3ed5 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada269a9188190aada5b3799d4dfd7 |
completed | March 8, 2026, 4:23 p.m. |
| PD | Predicate disambiguation | batch_69ad9df06ed88190809f0683122caa5a |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:03 p.m.