Triple
T10482911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portuguese culture |
E247215
|
entity |
| Predicate | hasDiasporaInfluenceOn |
P94554
|
FINISHED |
| Object | Brazilian culture |
—
|
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: Brazilian culture | Statement: [Portuguese culture, hasDiasporaInfluenceOn, Brazilian culture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDiasporaInfluenceOn Context triple: [Portuguese culture, hasDiasporaInfluenceOn, Brazilian culture]
-
A.
hasDiaspora
Indicates that a group, community, or population has members who have dispersed or settled outside their original homeland or region.
-
B.
diasporaType
Indicates the specific kind or category of diaspora relationship that exists between a group and its place of origin.
-
C.
diasporaCharacteristic
Indicates that an entity possesses a quality, feature, or attribute specifically associated with a diaspora community or condition.
-
D.
hasDiasporaOriginCountry
Indicates that an entity representing a diaspora community or group originates from, or traces its roots back to, a specified country.
-
E.
diasporaComponentOf
Indicates that one entity is a constituent or subgroup of the broader diaspora associated with another entity.
- 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_69d381c309b88190af78aa681cf6a4c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5095d21c08190a0b2f3e57fabb1d8 |
completed | April 7, 2026, 1:40 p.m. |
| PD | Predicate disambiguation | batch_69d4fb8a30848190b33cf43f005a028e |
completed | April 7, 2026, 12:41 p.m. |
| PDg | Predicate description generation | batch_69d5092af880819082b42c0a68e45c5f |
completed | April 7, 2026, 1:39 p.m. |
Created at: April 6, 2026, 12:22 p.m.