Triple
T26217841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kiryat Arba |
E655677
|
entity |
| Predicate | hasYeshiva |
P3445
|
FINISHED |
| Object | Nir Yeshiva |
—
|
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: Nir Yeshiva | Statement: [Kiryat Arba, hasYeshiva, Nir Yeshiva]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasYeshiva Context triple: [Kiryat Arba, hasYeshiva, Nir Yeshiva]
-
A.
hasSchool
Indicates that an entity possesses, is associated with, or is served by a particular school.
-
B.
hasGymnasium
Indicates that one entity possesses, includes, or is equipped with a gymnasium as a facility or feature.
-
C.
hasSeminaryFormationThrough
Indicates that one entity has received or undergone seminary training, education, or formation by means of, or via the involvement of, another entity.
-
D.
hasSchoolIn
Indicates that a school is located within or operates in a specified place or region.
-
E.
containsEducationalInstitution
chosen
Indicates that one entity geographically or administratively includes or encompasses an educational institution within its boundaries or structure.
- 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_69ee5b4a77e08190bfcb5f8ecdc55abd |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f60d1cd19081909f7575479d6b91ca |
completed | May 2, 2026, 2:41 p.m. |
| PD | Predicate disambiguation | batch_69f602d2ec748190ae95154f34c7878f |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 26, 2026, 8:55 p.m.