Triple
T16365363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mesmes language |
E397422
|
entity |
| Predicate | closelyRelatedTo |
P37
|
FINISHED |
| Object | Endegen language |
E397414
|
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: Endegen language | Statement: [Mesmes language, closelyRelatedTo, Endegen language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Endegen language Context triple: [Mesmes language, closelyRelatedTo, Endegen language]
-
A.
Endegen language
chosen
Endegen is an Ethiopian Semitic language belonging to the Gurage branch, spoken by a small community in central Ethiopia.
-
B.
Engenni language
The Engenni language is a Niger-Congo language spoken by the Engenni people in Nigeria’s Niger Delta region.
-
C.
Eggon language
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.
-
D.
Nendö language
The Nendö language is an Oceanic language spoken on Nendö Island in the Solomon Islands’ Temotu Province.
-
E.
Lasgerdi language
The Lasgerdi language is an Iranian language spoken in parts of north-central Iran and classified within the Semnani branch of Northwestern Iranian languages.
- 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_69d87f2778dc8190aa95c7572db127e6 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2ff3c915c81909e1757fc31921876 |
completed | April 18, 2026, 3:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a002dc0b3d4819089e6fba536ec8a11 |
completed | May 10, 2026, 7:03 a.m. |
Created at: April 10, 2026, 5:08 a.m.