Triple
T24185554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harari people |
E599545
|
entity |
| Predicate | associatedLanguageContact |
P95982
|
FINISHED |
| Object | Oromo language |
—
|
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: Oromo language | Statement: [Harari people, associatedLanguageContact, Oromo language]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedLanguageContact Context triple: [Harari people, associatedLanguageContact, Oromo language]
-
A.
primaryLanguageContact
Indicates that one language serves as the main or dominant medium of communication in a particular contact situation between language communities.
-
B.
contactLanguageWith
Indicates that two entities communicate with each other using a particular language as the medium of contact.
-
C.
hasContactWithLanguage
chosen
Indicates that an entity has some form of interaction, exposure, or engagement with a particular language.
-
D.
usedAsContactLanguageBetween
Indicates that a language functions as the medium of communication between two or more distinct language communities.
-
E.
languageContactWith
Indicates a relationship where two or more languages come into contact through their speakers, leading to interaction and potential mutual influence.
- 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_69e288cdc8b88190bf2f835d3cb4ca28 |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f27c9ddfcc819096697a844b300cce |
completed | April 29, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69f1c42f942c8190b103ff29a60fef34 |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 17, 2026, 11:35 p.m.