Triple
T21745103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orbital Workshop |
E536765
|
entity |
| Predicate | totalTimeOccupiedByCrew |
P145205
|
FINISHED |
| Object | about 171 days |
—
|
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 171 days | Statement: [Orbital Workshop, totalTimeOccupiedByCrew, about 171 days]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: totalTimeOccupiedByCrew Context triple: [Orbital Workshop, totalTimeOccupiedByCrew, about 171 days]
-
A.
totalCrewMembers
Indicates the total number of crew members associated with a given entity or context.
-
B.
crewEVAHours
Indicates the total number of hours that crew members spend performing extravehicular activities (spacewalks) outside their vehicle or habitat.
-
C.
crewLandingDuration
Indicates the length of time a crewed mission spends on the surface after landing before departure or ascent.
-
D.
crewTended
Indicates that a crew is responsible for attending to, operating, or maintaining something or someone.
-
E.
crewCount
Indicates the number of crew members associated with an entity, such as a vehicle, vessel, or mission.
- 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_69e0c46df5448190b4322127ffc4c690 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f01a75352c8190bcd46759562ee251 |
completed | April 28, 2026, 2:24 a.m. |
| PD | Predicate disambiguation | batch_69e6969c16fc8190b5126c169317d85d |
completed | April 20, 2026, 9:11 p.m. |
| PDg | Predicate description generation | batch_69e69f3ed4408190a4a78410bf660c44 |
completed | April 20, 2026, 9:48 p.m. |
Created at: April 16, 2026, 6:49 p.m.