Triple
T38130884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | רמת גן |
E952217
|
entity |
| Predicate | כוללת מוסד |
P3445
|
FINISHED |
| Object | אוניברסיטת בר-אילן |
—
|
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: אוניברסיטת בר-אילן | Statement: [רמת גן, כוללת מוסד, אוניברסיטת בר-אילן]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: כוללת מוסד Context triple: [רמת גן, כוללת מוסד, אוניברסיטת בר-אילן]
-
A.
כולל מוסד אקדמי
Indicates that something contains, encompasses, or incorporates an academic institution as one of its components or members.
-
B.
containsEducationalInstitution
chosen
Indicates that one entity geographically or administratively includes or encompasses an educational institution within its boundaries or structure.
-
C.
centralInstitutionOf
Indicates that one institution serves as the primary or main institutional center for another entity, such as an organization, system, or region.
-
D.
governedInstitution
Indicates that one entity exercises governing authority or administrative control over an institution.
-
E.
institutionalModel
Indicates the organizational or structural framework under which an institution is designed, governed, or operates.
- 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_69f76f083548819082bd2bbf53c79e8e |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fcc42cbac48190b8d3e4c9ce140838 |
completed | May 7, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69fcb0fc69c88190800453eb57a7e62c |
completed | May 7, 2026, 3:34 p.m. |
Created at: May 3, 2026, 4:21 p.m.