Triple
T5442339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boe-OFT-2 |
E122163
|
entity |
| Predicate | spacecraftRole |
P64096
|
FINISHED |
| Object | crew transportation system demonstrator |
—
|
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: crew transportation system demonstrator | Statement: [Boe-OFT-2, spacecraftRole, crew transportation system demonstrator]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spacecraftRole Context triple: [Boe-OFT-2, spacecraftRole, crew transportation system demonstrator]
-
A.
spacecraft
Indicates that an entity is a vehicle or object designed to travel or operate in outer space.
-
B.
roleInJamesWebbSpaceTelescope
Indicates that an entity holds or held a specific role or position in relation to the James Webb Space Telescope project or mission.
-
C.
mainSpacecraft
Indicates that one spacecraft is designated as the primary or principal spacecraft in relation to another entity or context.
-
D.
spacecraftModel
Indicates that one entity is the specific model or design type of a spacecraft associated with another entity.
-
E.
spacecraftComponents
Indicates that one entity is a spacecraft and the other is a component or part that belongs to or is used in that spacecraft.
- 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_69bd46400768819092925d461c0b8432 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd922f66bc8190b7d47fd68d2fcf2e |
completed | March 20, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69bd919aeb048190b786f814177d6cd9 |
completed | March 20, 2026, 6:27 p.m. |
| PDg | Predicate description generation | batch_69bd922dc688819092bf33589ebc6d50 |
completed | March 20, 2026, 6:30 p.m. |
Created at: March 20, 2026, 2:07 p.m.