Triple
T696445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ashkenazi Jewish diaspora |
E13903
|
entity |
| Predicate | sharesAncestralOriginWith |
P1969
|
FINISHED |
| Object | other Jewish communities |
—
|
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: other Jewish communities | Statement: [Ashkenazi Jewish diaspora, sharesAncestralOriginWith, other Jewish communities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sharesAncestralOriginWith Context triple: [Ashkenazi Jewish diaspora, sharesAncestralOriginWith, other Jewish communities]
-
A.
hasLastNameInCommonWith
Indicates that two entities share the same last name.
-
B.
sharesDNAWithHumans
Indicates that one entity possesses genetic material that is evolutionarily related to, and partially identical with, that of humans.
-
C.
foundingAncestor
Indicates that one entity is the original progenitor or earliest known ancestor from whom another entity or lineage descends.
-
D.
relatedEthnicGroup
chosen
Indicates that there is a notable ethnic connection or association between two ethnic groups, such as shared ancestry, culture, or historical ties.
-
E.
hasFamilialTieTo
Indicates a relationship where two entities are connected by family bonds, such as by blood, marriage, or adoption.
- 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_69a493406c408190957eeec9048a8fb6 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a0c8055881909565ebde2be8fd7a |
completed | March 1, 2026, 8:25 p.m. |
| PD | Predicate disambiguation | batch_69a49d23e0a08190b08be9d1eff2a1bb |
completed | March 1, 2026, 8:10 p.m. |
Created at: March 1, 2026, 7:36 p.m.