Triple
T10192646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Junkers Ju 90 |
E238075
|
entity |
| Predicate | civilAviationContext |
P7940
|
FINISHED |
| Object | pre‑World War II European air transport expansion |
—
|
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: pre‑World War II European air transport expansion | Statement: [Junkers Ju 90, civilAviationContext, pre‑World War II European air transport expansion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: civilAviationContext Context triple: [Junkers Ju 90, civilAviationContext, pre‑World War II European air transport expansion]
-
A.
aviationUsage
Indicates that something is used for, involved in, or associated with aviation-related activities or purposes.
-
B.
aircraft
Indicates that an entity is an aircraft or functions in the role of an aircraft in the described context.
-
C.
usedInAviation
chosen
Indicates that something is employed or applied within the field or context of aviation.
-
D.
aviationAuthority
Indicates that one entity serves as the official aviation regulatory or oversight body responsible for governing, certifying, or supervising the other entity’s aviation-related activities.
-
E.
affectsAirTraffic
Indicates that one entity causes changes or disruptions to the normal flow, safety, or management of air traffic.
- 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_69ca84de1b208190bf17bb305b002605 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdedc4fb808190aae2e4b84be96f83 |
completed | April 2, 2026, 4:17 a.m. |
| PD | Predicate disambiguation | batch_69cd7c8477648190bc55c56aeec507d3 |
completed | April 1, 2026, 8:13 p.m. |
Created at: March 30, 2026, 9:13 p.m.