Triple
T22201576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Freedom 7 |
E548696
|
entity |
| Predicate | crewCompartmentVolume |
P98818
|
FINISHED |
| Object | about 1.7 cubic meters |
—
|
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: about 1.7 cubic meters | Statement: [Freedom 7, crewCompartmentVolume, about 1.7 cubic meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: crewCompartmentVolume Context triple: [Freedom 7, crewCompartmentVolume, about 1.7 cubic meters]
-
A.
hasCrewCompartmentMaterial
Indicates that an entity’s crew compartment is made of, or incorporates, a specified material.
-
B.
cargoHoldVolume
Indicates the total internal volume available within a cargo hold for storing goods or materials.
-
C.
cabinVolumeCubicMeters
Indicates the volume of an enclosed cabin space measured in cubic meters.
-
D.
volumeOf
chosen
Indicates the quantitative three-dimensional space occupied by an entity or contained within an object.
-
E.
crewCab
Indicates that a vehicle has a crew cab configuration, meaning its cabin is designed to seat multiple occupants in both front and rear rows.
- 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_69e11e3ecc7c8190b5f94cd8f42e9d37 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12aeb16348190a34f96b47e01c8cf |
completed | April 28, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69e71b48576c8190a8e93738fd9cfda5 |
completed | April 21, 2026, 6:38 a.m. |
Created at: April 16, 2026, 8:36 p.m.