Triple
T15944841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gamo |
E386657
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Gamo language |
E511080
|
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: Gamo language | Statement: [Gamo, hasAlternativeName, Gamo language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gamo language Context triple: [Gamo, hasAlternativeName, Gamo language]
-
A.
Gamo language
chosen
The Gamo language is an Omotic language of southwestern Ethiopia spoken by the Gamo people and closely related to neighboring Wolaytta.
-
B.
Ghomara language
The Ghomara language is a lesser-known Berber language spoken by the Ghomara people in northern Morocco.
-
C.
Pokomo language
The Pokomo language is a Bantu language spoken primarily by the Pokomo people along Kenya’s Tana River.
-
D.
Patamona language
The Patamona language is an indigenous Cariban language spoken by the Patamona people of the Guiana Highlands in Guyana and northern Brazil.
-
E.
Ghomáláʼ language
Ghomáláʼ is a major Bantu language of the Grassfields region in western Cameroon, spoken primarily by the Bamiléké people and known for its rich tonal system.
- 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_69d86da882448190a82ea962fe343b79 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156d016588190ae368197dfa7d43a |
completed | April 16, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb5beabbc8190977f14c1b3ccdf29 |
completed | May 9, 2026, 10:31 p.m. |
Created at: April 10, 2026, 4:53 a.m.