Triple
T37193876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Planning and Budgeting Committee |
E921539
|
entity |
| Predicate | shapesPolicyFor |
P1051
|
FINISHED |
| Object | higher education system in Israel |
—
|
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: higher education system in Israel | Statement: [Planning and Budgeting Committee, shapesPolicyFor, higher education system in Israel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shapesPolicyFor Context triple: [Planning and Budgeting Committee, shapesPolicyFor, higher education system in Israel]
-
A.
locationPolicy
Indicates a rule or constraint governing where an entity is allowed, required, or restricted to be located.
-
B.
themePolicy
Indicates that a policy, rule, or guideline is the primary subject or focus of an action, event, or statement.
-
C.
governingPolicy
chosen
Indicates that one entity serves as the authoritative policy or set of rules that directs, constrains, or regulates the behavior, operation, or decisions of another entity.
-
D.
establishedPolicy
Indicates that a policy has been formally created, adopted, and put into effect as a guiding rule or standard.
-
E.
tipoDePolíticas
Indicates a classification relationship where specific policies are associated with or assigned to a particular type or category of policies.
- 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_69f76ea313a08190a54404cd1e47da90 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb55de3b9c8190a7656aeab3c3ffbc |
completed | May 6, 2026, 2:53 p.m. |
| PD | Predicate disambiguation | batch_69fb35bc92e08190bff447624e2df791 |
completed | May 6, 2026, 12:36 p.m. |
Created at: May 3, 2026, 4:15 p.m.