Triple
T6442014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Supplementary Special-purpose Plane |
E138246
|
entity |
| Predicate | planeCategory |
P70650
|
FINISHED |
| Object | supplementary special-purpose |
—
|
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: supplementary special-purpose | Statement: [Supplementary Special-purpose Plane, planeCategory, supplementary special-purpose]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: planeCategory Context triple: [Supplementary Special-purpose Plane, planeCategory, supplementary special-purpose]
-
A.
typicalAircraftTypeCategory
Indicates the general class or category of aircraft type that is most commonly associated with or used in a given context.
-
B.
aircraftType
Indicates the specific model or category of aircraft associated with an entity or event.
-
C.
commonAircraftFamily
Indicates that two aircraft belong to the same aircraft family or series, sharing a common design lineage.
-
D.
aircraft
Indicates that an entity is an aircraft or functions in the role of an aircraft in the described context.
-
E.
planeName
Indicates that an entity has a specific name assigned to a plane (such as an aircraft or geometric plane).
- F. None of above. chosen
Provenance (4 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_69c008aa61ac8190bc96715ed79fe2d8 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06989dfb88190b25ff8b2c53f3ced |
completed | March 22, 2026, 10:13 p.m. |
| PD | Predicate disambiguation | batch_69c060faaf248190bbdc8ff909c8777a |
completed | March 22, 2026, 9:36 p.m. |
| PDg | Predicate description generation | batch_69c0623e3cd48190929b0e3cba013909 |
completed | March 22, 2026, 9:42 p.m. |
Created at: March 22, 2026, 4:46 p.m.