Triple
T34117391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cessna 210 |
E875009
|
entity |
| Predicate | hasPressurizedVariant |
P22937
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Cessna 210, hasPressurizedVariant, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPressurizedVariant Context triple: [Cessna 210, hasPressurizedVariant, yes]
-
A.
pressurizedVariant
Indicates that one entity is a pressurized version or configuration of another entity.
-
B.
isPressurizedCargoCarrier
Indicates that the entity functions as a cargo carrier whose internal space is maintained at a controlled pressure.
-
C.
pressurizedCabin
chosen
Indicates that an enclosed space, typically in a vehicle or structure, is maintained at a controlled air pressure different from the outside environment.
-
D.
pressurizedModuleType
Indicates the specific kind or classification of a pressurized module associated with an entity.
-
E.
usedPressurizedModule
Indicates that an entity has operated or occupied a pressurized module as part of its activities or mission.
- 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_69f349a9271c81909576994c9ef7b179 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a0248062e608190aae1afdae38d2e5a |
completed | May 11, 2026, 9:20 p.m. |
| PD | Predicate disambiguation | batch_6a02465a0d38819084c3a6813fb943fc |
completed | May 11, 2026, 9:12 p.m. |
Created at: May 1, 2026, 1:53 a.m.