Triple
T24643994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fifth Aliyah |
E610053
|
entity |
| Predicate | effectOnYishuv |
P156886
|
FINISHED |
| Object | transformation into a more urban and middle-class society |
—
|
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: transformation into a more urban and middle-class society | Statement: [Fifth Aliyah, effectOnYishuv, transformation into a more urban and middle-class society]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: effectOnYishuv Context triple: [Fifth Aliyah, effectOnYishuv, transformation into a more urban and middle-class society]
-
A.
effectOnZionism
Indicates how something influences, shapes, or impacts Zionism as an ideology, movement, or set of practices.
-
B.
effectOnPalestinians
Indicates the impact or consequences that an action, event, or condition has on Palestinians.
-
C.
nearbyIsraeliSettlement
Indicates that one entity is located close in distance to an Israeli settlement.
-
D.
viewOnIsrael
Indicates a stance, opinion, or perspective that an entity holds regarding Israel.
-
E.
keyDifferenceFromKibbutz
Indicates the primary way in which something differs from or contrasts with a kibbutz.
- F. None of above. chosen
Provenance (4 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_69e2c4d350a481909170482bc2ce6af9 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f41011d8048190be70329ba0bfb7c7 |
completed | May 1, 2026, 2:29 a.m. |
| PD | Predicate disambiguation | batch_69f40ed9d47881909fcfc0d04e8d074a |
completed | May 1, 2026, 2:24 a.m. |
| PDg | Predicate description generation | batch_69f41010f06c81908ee7f773220df14f |
completed | May 1, 2026, 2:29 a.m. |
Created at: April 18, 2026, 2:33 a.m.