Triple
T16428318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northern Gurage |
E399002
|
entity |
| Predicate | hasLanguageBranch |
P1967
|
FINISHED |
| Object | Gumer |
E1121473
|
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: Gumer | Statement: [Northern Gurage, hasLanguageBranch, Gumer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gumer Context triple: [Northern Gurage, hasLanguageBranch, Gumer]
-
A.
Gumer
chosen
Gumer is a dialect of the Sebat Bet Gurage language spoken by the Gurage people in Ethiopia.
-
B.
Garema
Garema is a small rural locality in the Central West region of New South Wales, Australia.
-
C.
Yasa'ur
Yasa'ur was a Mongol prince and military leader who played a significant role in the politics and conflicts of the Chagatai Khanate during the early 14th century.
-
D.
Yaghuth
Yaghuth is a pre-Islamic Arabian deity, traditionally regarded as one of the ancient gods worshipped by Arab tribes before the advent of Islam.
-
E.
Galga
Galga is a small river in Hungary that serves as a tributary of the Zagyva River.
- 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_69d87f2b9024819085c20e52de95d583 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e328fc223c8190bbed29907351a6f6 |
completed | April 18, 2026, 6:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00458331748190a4bd1c5d2d466e6d |
completed | May 10, 2026, 8:44 a.m. |
Created at: April 10, 2026, 5:09 a.m.