Triple
T14717148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eggon |
E345710
|
entity |
| Predicate | languageSpoken |
P151
|
FINISHED |
| Object | Eggon language |
E345709
|
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: Eggon language | Statement: [Eggon, languageSpoken, Eggon language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eggon language Context triple: [Eggon, languageSpoken, Eggon language]
-
A.
Eggon language
chosen
Eggon language is a Plateau language of the Benue-Congo branch of the Niger-Congo family, spoken primarily by the Eggon people in central Nigeria.
-
B.
Gogot language
The Gogot language is a lesser-known Ethiosemitic language spoken by the Gurage people of Ethiopia.
-
C.
Endegen language
Endegen is an Ethiopian Semitic language belonging to the Gurage branch, spoken by a small community in central Ethiopia.
-
D.
Engenni language
The Engenni language is a Niger-Congo language spoken by the Engenni people in Nigeria’s Niger Delta region.
-
E.
Teke-Kega language
The Teke-Kega language is a Bantu language spoken by the Teke people of Central Africa, primarily in the Republic of the Congo and surrounding regions.
- 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_69d822e5911c8190ba589f957dbd9ba7 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb98688f48190b2b19ce7aa06a6db |
completed | April 14, 2026, 10:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdf0935f088190b54f2e106532972a |
completed | May 8, 2026, 2:17 p.m. |
Created at: April 10, 2026, 1:29 a.m.