Triple
T7051400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parachutist Badge |
E163773
|
entity |
| Predicate | branchInsigniaFor |
P73103
|
FINISHED |
| Object | airborne-qualified personnel |
—
|
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: airborne-qualified personnel | Statement: [Parachutist Badge, branchInsigniaFor, airborne-qualified personnel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: branchInsigniaFor Context triple: [Parachutist Badge, branchInsigniaFor, airborne-qualified personnel]
-
A.
symbolOnInsignia
Indicates that a particular symbol appears on or is featured as part of an insignia.
-
B.
rankInsigniaWornOn
Indicates the physical location on a uniform or body where a rank insignia is displayed or attached.
-
C.
flagOrInsignia
chosen
Indicates that one entity serves as a flag, emblem, or insignia representing another entity.
-
D.
hasTypeOfInsignia
Indicates that an entity bears or is associated with a specific kind or category of insignia.
-
E.
emblematicFor
Indicates that something serves as a representative symbol or characteristic example of something else.
- 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_69c6885f598c8190b6b6495c59d8d962 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e4a3c36c819080942c59f1830ae8 |
completed | March 27, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69c6e1bdc1f08190975fcdbbb1854d1e |
completed | March 27, 2026, 7:59 p.m. |
Created at: March 27, 2026, 2:37 p.m.