Triple
T16428322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northern Gurage |
E399002
|
entity |
| Predicate | hasLanguageBranch |
P1967
|
FINISHED |
| Object | Muher |
E1119786
|
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: Muher | Statement: [Northern Gurage, hasLanguageBranch, Muher]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Muher Context triple: [Northern Gurage, hasLanguageBranch, Muher]
-
A.
Muher
chosen
Muher is a Gurage language variety spoken in Ethiopia, known as one of the dialects of the Sebat Bet Gurage cluster within the Ethiosemitic language family.
-
B.
Muhu
Muhu is a large Estonian island in the Baltic Sea known for its traditional villages, distinctive folk culture, and role as a gateway between the mainland and Saaremaa.
-
C.
Mahur
Mahur is a small town in the Dima Hasao district of Assam, India, known as a local commercial and transport hub in the region’s hilly terrain.
-
D.
Mahur
Mahur is a small settlement located in the Lihir Islands of Papua New Guinea, known for its remote island community and proximity to major gold mining operations.
-
E.
Mugatu
Mugatu is the flamboyant, villainous fashion designer portrayed by Will Ferrell in the comedy film "Zoolander."
- 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.