Triple
T31326299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moors (Bidhan) population |
E798894
|
entity |
| Predicate | demographicStatusInMauritania |
P172219
|
FINISHED |
| Object | largest ethnic group |
—
|
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: largest ethnic group | Statement: [Moors (Bidhan) population, demographicStatusInMauritania, largest ethnic group]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: demographicStatusInMauritania Context triple: [Moors (Bidhan) population, demographicStatusInMauritania, largest ethnic group]
-
A.
statusInMauritania
Indicates the legal, social, or conservation status that an entity holds specifically within the context of Mauritania.
-
B.
demographicStatusInCoteDIvoire
Indicates the demographic status or classification of an entity within the context of Côte d’Ivoire.
-
C.
demographicStatusInChad
Indicates the demographic status or characteristics of an entity within the context of Chad.
-
D.
demographicStatusInLiberia
Indicates the demographic status or classification of an entity within the population context of Liberia.
-
E.
statusInMali
Indicates the legal, social, or official condition or standing that an entity holds within the context of Mali.
- 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_69f224e3238c8190b2291f50ea4962cd |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6a9603b208190b3533ea2b441514c |
completed | May 3, 2026, 1:48 a.m. |
| PD | Predicate disambiguation | batch_69f6a7548eb48190a69b60a3c6ad53b9 |
completed | May 3, 2026, 1:39 a.m. |
| PDg | Predicate description generation | batch_69f6a915ead881909463ae46419c343e |
completed | May 3, 2026, 1:47 a.m. |
Created at: April 29, 2026, 9:15 p.m.