Triple
T2180939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Georgian Jews |
E49038
|
entity |
| Predicate | diasporaLanguage |
P27697
|
FINISHED |
| Object | Hebrew (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: Hebrew (in Israel) | Statement: [Georgian Jews, diasporaLanguage, Hebrew (in Israel)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: diasporaLanguage Context triple: [Georgian Jews, diasporaLanguage, Hebrew (in Israel)]
-
A.
diasporaTerm
Indicates that a term specifically refers to, describes, or is used within the context of a diaspora community or diasporic experience.
-
B.
diasporaType
Indicates the specific kind or category of diaspora relationship that exists between a group and its place of origin.
-
C.
spokenInDiaspora
chosen
Indicates that a language or dialect is used by a community living outside its original homeland or region of origin.
-
D.
languageDiversity
Indicates the degree to which multiple distinct languages are present and used within a given context or population.
-
E.
majorDiasporaCommunity
Indicates that a significant portion of a group's population lives outside its traditional homeland, forming a large and influential diaspora community in a given place.
- 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_69a88aa72d348190a9544bb5b8a4e71d |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc4358fc88190a6f556c2de9fef8c |
completed | March 7, 2026, 6:22 a.m. |
| PD | Predicate disambiguation | batch_69abbda0ec948190be88c1243d81a423 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:45 p.m.