Triple
T24479017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anyin people |
E617312
|
entity |
| Predicate | demographicStatusInCoteDIvoire |
P156258
|
FINISHED |
| Object | one of the major Akan-speaking groups |
—
|
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: one of the major Akan-speaking groups | Statement: [Anyin people, demographicStatusInCoteDIvoire, one of the major Akan-speaking groups]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: demographicStatusInCoteDIvoire Context triple: [Anyin people, demographicStatusInCoteDIvoire, one of the major Akan-speaking groups]
-
A.
statusInBurkinaFaso
Indicates the legal, social, or official condition or standing that an entity has within the context of Burkina Faso.
-
B.
populationRankInBurkinaFaso
Indicates the relative position of an entity in terms of population size compared to other entities within Burkina Faso.
-
C.
demographicStatusInChad
Indicates the demographic status or characteristics of an entity within the context of Chad.
-
D.
demographicStatusInBelgium
Indicates the demographic status or classification an entity holds within the population of Belgium.
-
E.
statusInWestAfrica
Indicates the status, condition, or standing that an entity holds specifically within the context of West Africa.
- 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_69e2d7f3ae788190b683394db15f220e |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f29ed3fce88190b5be7e085ef88c97 |
completed | April 30, 2026, 12:14 a.m. |
| PD | Predicate disambiguation | batch_69f287d76c7c81909494f12e606a9149 |
completed | April 29, 2026, 10:36 p.m. |
| PDg | Predicate description generation | batch_69f28f4d978c81908310c01def2514cc |
completed | April 29, 2026, 11:07 p.m. |
Created at: April 18, 2026, 2:21 a.m.