Triple
T30108588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harari Region |
E765198
|
entity |
| Predicate | ethnicallyDistinct |
P139752
|
FINISHED |
| Object | Harari people |
—
|
NE NERFINISHED |
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: Harari people | Statement: [Harari Region, ethnicallyDistinct, Harari people]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ethnicallyDistinct Context triple: [Harari Region, ethnicallyDistinct, Harari people]
-
A.
ethnonymDistinction
Indicates that a distinction is being made between different ethnonyms, i.e., different names or labels used for ethnic groups.
-
B.
holderEthnicity
Indicates the ethnic background or group to which the holder of something (e.g., a document, account, or item) belongs.
-
C.
sharesEthnicity
Indicates that two entities belong to the same ethnic group or share the same ethnic background.
-
D.
otherEthnicGroup
Indicates that one entity belongs to a different ethnic group than the other entity.
-
E.
ethnicContrast
chosen
Indicates a relationship where two or more entities are contrasted or differentiated based on their ethnic backgrounds or identities.
- 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_69f22475ad7c8190be7f9541044a0bbb |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f7516d5b4081908588a6feb541f355 |
completed | May 3, 2026, 1:45 p.m. |
| PD | Predicate disambiguation | batch_69f74d40ebb081909daf60623e38f41d |
completed | May 3, 2026, 1:27 p.m. |
Created at: April 29, 2026, 7:10 p.m.