Triple
T20469363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leonov spacecraft |
E502142
|
entity |
| Predicate | hasOnboardVehicle |
P7735
|
FINISHED |
| Object | EVA pods (fictional) |
—
|
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: EVA pods (fictional) | Statement: [Leonov spacecraft, hasOnboardVehicle, EVA pods (fictional)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOnboardVehicle Context triple: [Leonov spacecraft, hasOnboardVehicle, EVA pods (fictional)]
-
A.
hasVehicle
chosen
Indicates that one entity possesses, owns, or is assigned a vehicle.
-
B.
hasVehicleAccess
Indicates that an entity is permitted to use or enter a particular vehicle.
-
C.
hasPrimaryVehicularAccessTo
Indicates that one location or entity serves as the main route or means by which vehicles can reach or enter another location or entity.
-
D.
hasVehicularUse
Indicates that something is used for, intended for, or associated with operation by vehicles or vehicular traffic.
-
E.
hostVehicle
Indicates that one entity serves as the primary or reference vehicle in relation to another entity or context.
- 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_69e0b4ae5f1081908768b0c9a3a0bf38 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6995f753081909bbe03f7c251d9c1 |
completed | April 20, 2026, 9:23 p.m. |
| PD | Predicate disambiguation | batch_69e57679eb40819086142df3e39c928e |
completed | April 20, 2026, 12:42 a.m. |
Created at: April 16, 2026, 11:33 a.m.