Triple
T3258798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berom language |
E68361
|
entity |
| Predicate | glottologName |
P6521
|
FINISHED |
| Object | Berom |
E289554
|
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: Berom | Statement: [Berom language, glottologName, Berom]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Berom Context triple: [Berom language, glottologName, Berom]
-
A.
Berom
chosen
Berom is a Plateau language spoken predominantly by the Berom people in and around Jos in central Nigeria.
-
B.
Bertramus
Bertramus is a Latinized variant of the given name Bertram, historically used in medieval and ecclesiastical contexts.
-
C.
Bor
Bor is a town in Nizhny Novgorod Oblast, Russia, located on the left bank of the Volga River opposite the city of Nizhny Novgorod and known for its industrial and river transport significance.
-
D.
Breg
Breg is a river in Germany’s Black Forest region that forms one of the main headwaters of the Danube.
-
E.
Breyten
Breyten is the given name of Breyten Breytenbach, the renowned South African poet, painter, and anti-apartheid activist.
- 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_69ad858f74408190bcbd07f967cd7bd0 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adafa4f40c81909adfd0f7f568e3ce |
completed | March 8, 2026, 5:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b28ed941cc81909c35853e793d6ce5 |
completed | March 12, 2026, 10 a.m. |
Created at: March 8, 2026, 3:09 p.m.