Triple
T33074299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Security College of Israel |
E846315
|
entity |
| Predicate | selectsStudentsFrom |
P88189
|
FINISHED |
| Object | Israel Defense Forces |
—
|
NE NERFINISHED |
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: Israel Defense Forces | Statement: [National Security College of Israel, selectsStudentsFrom, Israel Defense Forces]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: selectsStudentsFrom Context triple: [National Security College of Israel, selectsStudentsFrom, Israel Defense Forces]
-
A.
drawsStudentsFrom
Indicates that an institution or program attracts and enrolls students originating from a particular source, place, or group.
-
B.
targetStudentsFrom
Indicates that an entity directs its efforts, services, or offerings specifically toward a defined group of students.
-
C.
hasStudentSelection
Indicates that an entity has chosen, enrolled in, or been assigned a particular student or set of students.
-
D.
admitsStudentsFrom
chosen
Indicates that an educational institution accepts or enrolls students who come from a specified source, such as a school, region, or program.
-
E.
studentsAre
Indicates that certain entities hold the role or status of being students in relation to something or someone.
- 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_69f3495405b88190967af2157b43b896 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6e02ba6b881908dfafc52d3b75f1c |
completed | May 3, 2026, 5:42 a.m. |
| PD | Predicate disambiguation | batch_69f6de09c2f481909f8b2545d3208c9f |
completed | May 3, 2026, 5:32 a.m. |
Created at: May 1, 2026, 1:25 a.m.