Triple
T9502326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saharan languages |
E229173
|
entity |
| Predicate | majorLanguage |
P207
|
FINISHED |
| Object | Daza language |
E750298
|
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: Daza language | Statement: [Saharan languages, majorLanguage, Daza language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daza language Context triple: [Saharan languages, majorLanguage, Daza language]
-
A.
Dazaga language
chosen
The Dazaga language is a Saharan language spoken primarily by the Daza (Tebu) people in Chad, Niger, Libya, and surrounding regions.
-
B.
Zaiwa language
The Zaiwa language is a Tibeto-Burman language spoken primarily by the Zaiwa people in parts of Yunnan, China and northern Myanmar.
-
C.
Dawan language
The Dawan language is an Austronesian language spoken primarily in West Timor, Indonesia, by the Atoni people.
-
D.
Daakaka language
The Daakaka language is an Oceanic language spoken by communities on Ambrym Island in Vanuatu.
-
E.
Zay language
Zay language is a South Ethiopic Semitic language spoken by the Zay people on islands and shores of Lake Zway in Ethiopia.
- 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_69ca847611c48190a28c028644198c75 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd983ea6048190a2d7924c8e6d1fbc |
completed | April 1, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d13a10f7b08190b8e4d4bc3b9815c6 |
completed | April 4, 2026, 4:19 p.m. |
Created at: March 30, 2026, 7:57 p.m.