Triple
T16365443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Western Gurage |
E397424
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object | Chaha |
E1119784
|
NE 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: Chaha | Statement: [Western Gurage, hasDialect, Chaha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chaha Context triple: [Western Gurage, hasDialect, Chaha]
-
A.
Chaha
chosen
Chaha is a Gurage language variety spoken in Ethiopia, known for its complex phonology and membership in the Semitic branch of the Afroasiatic language family.
-
B.
Chaiba
Chaiba is a town located within Algeria’s coastal Tipaza Province.
-
C.
Chaam
Chaam is a village in the Dutch province of North Brabant, known for its rural character and historic ties to the Baronie of Breda.
-
D.
Chencha
Chencha is a loyal and talkative servant in the De la Garza household in Laura Esquivel’s novel "Like Water for Chocolate."
-
E.
Ah-Leu-Cha
"Ah-Leu-Cha" is a bebop jazz composition by Charlie Parker, known for its fast tempo, intricate melody, and status as a standard in the modern jazz repertoire.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d87f2778dc8190aa95c7572db127e6 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2ff3c915c81909e1757fc31921876 |
completed | April 18, 2026, 3:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a002dc0b3d4819089e6fba536ec8a11 |
completed | May 10, 2026, 7:03 a.m. |
Created at: April 10, 2026, 5:08 a.m.