Triple
T31670996
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gafat people |
E808267
|
entity |
| Predicate | ethnicStatusInEthiopia |
P101412
|
FINISHED |
| Object | minority 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: minority group | Statement: [Gafat people, ethnicStatusInEthiopia, minority group]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ethnicStatusInEthiopia Context triple: [Gafat people, ethnicStatusInEthiopia, minority group]
-
A.
statusInEthiopia
Indicates the legal, social, or official condition or standing that an entity holds within the context of Ethiopia.
-
B.
populationRankInEthiopia
Indicates the relative position of an entity in terms of population size compared to other entities within Ethiopia.
-
C.
ethnicGroupStatus
chosen
Indicates the social, legal, or political standing or classification of an ethnic group within a given context.
-
D.
citizenshipStatusInEritrea
Indicates the type or condition of a person's legal citizenship status specifically within Eritrea.
-
E.
ethnonymStatus
Indicates the status or role of an ethnonym (a name for an ethnic group) in relation to a group, such as whether it is current, historical, preferred, or deprecated.
- 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_69f348dbeef4819080b446a7feb6340b |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f7bbf906d8819099020e548dd56bc9 |
completed | May 3, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a2dcf88190a7c9e109e41267be |
completed | May 3, 2026, 9:09 p.m. |
Created at: April 30, 2026, 11:01 p.m.