Triple
T13669092
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Antonov An-22 |
E327701
|
entity |
| Predicate | cargoHoldType |
P111082
|
FINISHED |
| Object | pressurized cargo hold |
—
|
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: pressurized cargo hold | Statement: [Antonov An-22, cargoHoldType, pressurized cargo hold]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cargoHoldType Context triple: [Antonov An-22, cargoHoldType, pressurized cargo hold]
-
A.
cargoHoldWidth
Indicates the width dimension of a cargo hold in a vehicle, vessel, or storage structure.
-
B.
cargoHoldHeight
Indicates the vertical interior dimension or clearance height of a cargo hold space.
-
C.
cargoHoldVolume
Indicates the total internal volume available within a cargo hold for storing goods or materials.
-
D.
supportsCargoType
Indicates that one entity is capable of handling, transporting, or accommodating a specified type of cargo.
-
E.
cargoLoading
Indicates the action or process of placing cargo onto a vehicle, vessel, or other transport medium for shipment or movement.
- 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_69d8076f1fa8819094664a59b55010df |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc65832688190aea688fee0a7cbdb |
completed | April 12, 2026, 4:20 p.m. |
| PD | Predicate disambiguation | batch_69dbbe8d8d0881908d6e89954f44eed4 |
completed | April 12, 2026, 3:47 p.m. |
| PDg | Predicate description generation | batch_69dbc59ca1a88190a6abd3bd00554c93 |
completed | April 12, 2026, 4:17 p.m. |
Created at: April 9, 2026, 9:53 p.m.