Triple
T30923716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swearingen Aircraft |
E787797
|
entity |
| Predicate | operationalRoleOfProducts |
P109847
|
FINISHED |
| Object | regional passenger transport |
—
|
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: regional passenger transport | Statement: [Swearingen Aircraft, operationalRoleOfProducts, regional passenger transport]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operationalRoleOfProducts Context triple: [Swearingen Aircraft, operationalRoleOfProducts, regional passenger transport]
-
A.
productRole
chosen
Indicates the functional role or purpose that a product has within a broader system, context, or usage scenario.
-
B.
roleInOperation
Indicates that an entity holds a specific function, duty, or position within a particular operation or activity.
-
C.
keyProductRole
Indicates that an entity serves as a primary or central product in relation to another entity, defining its main product role in that context.
-
D.
roleOfPeopleOnIt
Indicates the specific roles or functions that people have in relation to a particular object, event, or context.
-
E.
operationalNature
Indicates the functional or practical manner in which an entity, process, or system operates or carries out its activities.
- 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_69f224bfaca88190b9d0dfcc86297fe9 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69ff80d9a1d88190a95b1488acd6e2e5 |
completed | May 9, 2026, 6:45 p.m. |
| PD | Predicate disambiguation | batch_69ff802ae2dc819093a3cda42b63dcbd |
completed | May 9, 2026, 6:42 p.m. |
Created at: April 29, 2026, 8:51 p.m.