Triple
T23987094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Third Aliyah |
E604966
|
entity |
| Predicate | immigrantProfile |
P143755
|
FINISHED |
| Object | pioneering halutzim (pioneers) |
—
|
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: pioneering halutzim (pioneers) | Statement: [Third Aliyah, immigrantProfile, pioneering halutzim (pioneers)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: immigrantProfile Context triple: [Third Aliyah, immigrantProfile, pioneering halutzim (pioneers)]
-
A.
immigrationReason
Indicates the reason or motivation behind an entity’s act of immigrating from one place to another.
-
B.
immigratedTo
Indicates that an entity moved from its country of origin to live permanently in another specified country or region.
-
C.
immigrationFeature
chosen
Indicates that an entity possesses a characteristic, policy, or attribute specifically related to immigration.
-
D.
immigrantPopulationShare
Indicates the proportion of a total population that is made up of immigrants.
-
E.
immigrationType
Indicates the specific category or classification of an individual’s immigration status or entry into a country.
- 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_69e295463f7c8190b1c19dbd114641b9 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d38838f481909a52fccd392a92df |
completed | April 29, 2026, 9:46 a.m. |
| PD | Predicate disambiguation | batch_69f161578d54819084a8b35496299993 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 9:36 p.m.