Triple
T32270955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brazilian Jews |
E824412
|
entity |
| Predicate | largestCommunityInCountry |
P6147
|
FINISHED |
| Object | São Paulo |
—
|
NE NERFINISHED |
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: São Paulo | Statement: [Brazilian Jews, largestCommunityInCountry, São Paulo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: largestCommunityInCountry Context triple: [Brazilian Jews, largestCommunityInCountry, São Paulo]
-
A.
largestCommunityIn
chosen
Indicates that one community is the largest (by some defined measure, such as population or size) among all communities within a given area or entity.
-
B.
largestByPopulationIn
Indicates that an entity is the one with the greatest population among all entities within a specified area or group.
-
C.
hasLargestPopulationOn
Indicates that the subject entity has the greatest population among a specified set of entities within the context or scope defined by the object.
-
D.
largestUrbanConcentrationIn
Indicates that an entity represents the biggest or most populous urban area located within a specified geographic region.
-
E.
largestCommunityAbroadIn
Indicates that a given country or group has its largest expatriate or diaspora community located in a specified foreign 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_69f3490e73588190915f282edd105772 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6bc8766048190a663b878529d5450 |
completed | May 3, 2026, 3:09 a.m. |
| PD | Predicate disambiguation | batch_69f6b632cf788190a3d0c08cd026b84b |
completed | May 3, 2026, 2:42 a.m. |
Created at: May 1, 2026, 12:42 a.m.