Triple
T23993692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Balanta Kentohe |
E605133
|
entity |
| Predicate | hasEthnicCategory |
P124863
|
FINISHED |
| Object | West African 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: West African ethnic group | Statement: [Balanta Kentohe, hasEthnicCategory, West African ethnic group]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEthnicCategory Context triple: [Balanta Kentohe, hasEthnicCategory, West African ethnic group]
-
A.
hasMajorEthnicCategory
Indicates that an entity is associated with, or classified under, a primary or overarching ethnic category.
-
B.
hasEthnicScope
Indicates that something is relevant or applicable specifically to a particular ethnic group or ethnic context.
-
C.
hasEthnicGroupType
chosen
Indicates that an entity is associated with, characterized by, or classified according to a particular type or category of ethnic group.
-
D.
hasEthnicCharacteristic
Indicates that an entity possesses or is associated with a particular ethnic characteristic or identity.
-
E.
isInEthnicState
Indicates that an entity exists within or is governed by a political state defined primarily by a specific ethnic group.
- 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_69e295463f7c8190b1c19dbd114641b9 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d38dbf78819081826f86bf578069 |
completed | April 29, 2026, 9:46 a.m. |
| PD | Predicate disambiguation | batch_69f1615994c48190a5de95d3f7e5cd0a |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 9:38 p.m.