Triple
T10483591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Proto-Koman |
E247233
|
entity |
| Predicate | ancestorOf |
P369
|
FINISHED |
| Object | Gule language |
E247232
|
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: Gule language | Statement: [Proto-Koman, ancestorOf, Gule language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gule language Context triple: [Proto-Koman, ancestorOf, Gule language]
-
A.
Gule language
chosen
The Gule language is an endangered Nilo-Saharan language formerly spoken by a small ethnic group in the border region of Sudan and Ethiopia.
-
B.
Sanglechi language
The Sanglechi language is an Eastern Iranian language spoken by a small community in the Sanglech Valley region of Afghanistan and Tajikistan.
-
C.
Ngulu language
The Ngulu language is a Bantu language spoken in parts of East Africa, particularly in Tanzania, and is part of the larger Northeast Coast Bantu subgroup.
-
D.
Gura language
The Gura language is an Ethiopian Semitic language spoken by the Gurage people in central Ethiopia.
-
E.
Murle language
The Murle language is an Eastern Sudanic language spoken primarily by the Murle people of South Sudan.
- 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_69d381c309b88190af78aa681cf6a4c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509678ac88190984f18a2162e2dcf |
completed | April 7, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8a03c647c81909521fee4a66ec8ac |
completed | April 10, 2026, 7:01 a.m. |
Created at: April 6, 2026, 12:22 p.m.