Triple
T21053571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Segeju language |
E518649
|
entity |
| Predicate | associatedWithEthnicity |
P194
|
FINISHED |
| Object | Segeju |
—
|
NE NERFINISHED |
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: Segeju | Statement: [Segeju language, associatedWithEthnicity, Segeju]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Segeju Context triple: [Segeju language, associatedWithEthnicity, Segeju]
-
A.
Segeju
chosen
Segeju is a Bantu language of the Sabaki group spoken by the Segeju people in parts of coastal Kenya and Tanzania.
-
B.
Girma
Girma is a surname most notably borne by Naomi Girma, an American professional soccer player and defender for the U.S. women’s national team.
-
C.
Amguema
Amguema is a remote rural settlement in Russia’s Chukotka Autonomous Okrug, located within the Arctic region and inhabited primarily by Indigenous peoples engaged in reindeer herding and traditional subsistence activities.
-
D.
Ermias
Ermias is the birth name of the late American rapper, entrepreneur, and community activist Nipsey Hussle.
-
E.
Buhera
Buhera is a rural town and district center in eastern Zimbabwe known for its agricultural activities and location within Manicaland Province.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b5053ac48190921529544959e906 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fd7e087c81908712ddc63e8b1e6c |
completed | April 21, 2026, 4:30 a.m. |
Created at: April 16, 2026, 2:36 p.m.