Triple
T32270971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brazilian Jews |
E824412
|
entity |
| Predicate | KahalZurIsraelSynagogueClaim |
P174156
|
FINISHED |
| Object | first synagogue in the Americas |
—
|
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: first synagogue in the Americas | Statement: [Brazilian Jews, KahalZurIsraelSynagogueClaim, first synagogue in the Americas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: KahalZurIsraelSynagogueClaim Context triple: [Brazilian Jews, KahalZurIsraelSynagogueClaim, first synagogue in the Americas]
-
A.
hasSynagogueUnion
Indicates that there exists an organizational or formal union connecting one synagogue with another synagogue or group of synagogues.
-
B.
mainSynagogue
Indicates that one entity serves as the primary or principal synagogue associated with another entity (such as a place, community, or organization).
-
C.
synagogueName
Indicates that one entity is the name or designated title of a synagogue associated with another entity.
-
D.
hasSynagogueType
Indicates the specific classification or type of synagogue associated with an entity.
-
E.
builtSynagogue
Indicates that one entity constructed or was responsible for the building of a synagogue for another entity or community.
- 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_69f3490e73588190915f282edd105772 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6bcc425588190afd0dceba43ed79f |
completed | May 3, 2026, 3:11 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6cef208190bc5cd43d96127004 |
completed | May 3, 2026, 3:01 a.m. |
| PDg | Predicate description generation | batch_69f6bbbe23d48190b2aa662d69b41900 |
completed | May 3, 2026, 3:06 a.m. |
Created at: May 1, 2026, 12:42 a.m.