Triple
T16578401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rutan Aircraft Factory |
E402773
|
entity |
| Predicate | roleInAviation |
P122515
|
FINISHED |
| Object | pioneering composite homebuilt aircraft |
—
|
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: pioneering composite homebuilt aircraft | Statement: [Rutan Aircraft Factory, roleInAviation, pioneering composite homebuilt aircraft]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInAviation Context triple: [Rutan Aircraft Factory, roleInAviation, pioneering composite homebuilt aircraft]
-
A.
hasRoleInAviation
chosen
Indicates that an entity holds or has held a specific role, position, or function within the field of aviation.
-
B.
airspaceRole
Indicates the specific function or responsibility an entity has within a defined airspace.
-
C.
aircraftRoleRequired
Indicates that a specific operational role or function is required of an aircraft within a given context or mission.
-
D.
referredAircraftRole
Indicates that one aircraft is mentioned or designated in relation to another aircraft’s role, function, or status within a specific context or event.
-
E.
testAircraftRole
Indicates that an aircraft is assigned or evaluated for a specific operational role or function.
- 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_69d88387363c8190a97a0c942130de97 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3595e9e1081909b220fb2de630348 |
completed | April 18, 2026, 10:13 a.m. |
| PD | Predicate disambiguation | batch_69e296a7d9d0819088555bca6c936e79 |
completed | April 17, 2026, 8:23 p.m. |
Created at: April 10, 2026, 5:16 a.m.