Triple
T10043143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cushitic |
E205344
|
entity |
| Predicate | includesLanguage |
P2177
|
FINISHED |
| Object | Iraqw |
E273031
|
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: Iraqw | Statement: [Cushitic, includesLanguage, Iraqw]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Iraqw Context triple: [Cushitic, includesLanguage, Iraqw]
-
A.
Iraqw
chosen
Iraqw is a Cushitic language spoken primarily by the Iraqw people in northern Tanzania.
-
B.
Warji
Warji is a Chadic language spoken primarily in northern Nigeria by the Warji people.
-
C.
Wedde
Wedde is a village in the municipality of Westerwolde in the province of Groningen in the northeastern Netherlands.
-
D.
Jawoyn
Jawoyn is an Aboriginal Australian people and their associated language from the Northern Territory, particularly around the Katherine region.
-
E.
I-wak
I-wak is an Austronesian language spoken by a small indigenous community in the northern Philippines.
- 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_69ca834f70e88190b2d74828b7767ec1 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdcf60a2208190846e57b5f5649307 |
completed | April 2, 2026, 2:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d28278235c8190a5e833a9586bd3f5 |
completed | April 5, 2026, 3:40 p.m. |
Created at: March 30, 2026, 8:55 p.m.