Triple
T16365218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ezha language |
E397416
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Ezha |
E1119785
|
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: Ezha | Statement: [Ezha language, hasAlternativeName, Ezha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ezha Context triple: [Ezha language, hasAlternativeName, Ezha]
-
A.
Ezha
chosen
Ezha is a Gurage language variety spoken in Ethiopia, recognized as one of the distinct dialects within the broader Gurage linguistic group.
-
B.
Eza’r
Eza’r is the endonym used by the Chichimeca Jonaz people for their own indigenous community and language in Mexico.
-
C.
Ehden
Ehden is a mountainous town and summer resort in northern Lebanon known for its cool climate, historic churches, and proximity to the Horsh Ehden Nature Reserve.
-
D.
Ekhoni
Ekhoni is a Bengali film directed by Tapan Sinha, known for its realistic portrayal of urban youth and social issues in contemporary Kolkata.
-
E.
Ezo
Ezo was a short-lived 19th-century breakaway state in northern Japan, centered on Hokkaido and established by former Tokugawa loyalists after the Boshin War.
- 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.