Triple
T7834961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teacher in Space Project |
E181667
|
entity |
| Predicate | numberOfApplicants |
P1131
|
FINISHED |
| Object | over 11000 teachers |
—
|
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: over 11000 teachers | Statement: [Teacher in Space Project, numberOfApplicants, over 11000 teachers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfApplicants Context triple: [Teacher in Space Project, numberOfApplicants, over 11000 teachers]
-
A.
eligibleAppointees
Indicates that certain individuals or entities meet the required criteria to be considered for a particular appointment or position.
-
B.
admittedStudents
Indicates that certain students have been officially accepted or granted admission to an institution, program, or course.
-
C.
enrollmentSize
Indicates the number of individuals enrolled or registered in a particular group, program, or institution.
-
D.
numberOfParticipants
chosen
Indicates the total count of entities involved in a particular event, activity, or relationship.
-
E.
admissionsSystem
Indicates a relationship where an entity functions as or is associated with a system that manages or processes admissions decisions or applications.
- 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.