Triple
T7834966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teacher in Space Project |
E181667
|
entity |
| Predicate | plannedActivitiesInSpace |
P50791
|
FINISHED |
| Object | teaching lessons from orbit |
—
|
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: teaching lessons from orbit | Statement: [Teacher in Space Project, plannedActivitiesInSpace, teaching lessons from orbit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: plannedActivitiesInSpace Context triple: [Teacher in Space Project, plannedActivitiesInSpace, teaching lessons from orbit]
-
A.
spaceActivity
chosen
Indicates involvement in activities or operations that take place in, or are directly related to, outer space.
-
B.
spaceStationLaunched
Indicates that a space station has been sent from Earth into space on a launch vehicle.
-
C.
spaceProgram
Indicates that an entity is involved in, operates, or is associated with an organized program dedicated to space exploration, research, or related activities.
-
D.
coordinatesSpaceProgramsFor
Indicates that one entity organizes, manages, or aligns the space program activities or initiatives of another entity.
-
E.
spaceAgencyCustomer
Indicates a relationship where one entity is a customer that purchases or contracts services from a space agency.
- 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_69ca8284a25c8190a1a20afad30da792 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb064b872081908e269f4fe1b85436 |
completed | March 30, 2026, 11:24 p.m. |
| PD | Predicate disambiguation | batch_69cae91e98988190abd4ece75932c589 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 4:45 p.m.