Triple
T14558397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jos North |
E341601
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object | Jos Plateau |
E289553
|
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: Jos Plateau | Statement: [Jos North, locatedOn, Jos Plateau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jos Plateau Context triple: [Jos North, locatedOn, Jos Plateau]
-
A.
Jos Plateau
chosen
Jos Plateau is a highland region in central Nigeria known for its cool climate, scenic landscapes, and rich mineral resources, especially tin.
-
B.
Cézallier plateau
The Cézallier plateau is a high-altitude volcanic and pastoral landscape in central France, known for its wide open grasslands, lakes, and traditional cattle farming.
-
C.
Langres Plateau
The Langres Plateau is a high limestone upland in northeastern France known as a major watershed that gives rise to several important rivers, including the Seine.
-
D.
Montmorency plateau
The Montmorency plateau is a raised geographic area in the Val-d'Oise department of northern France, known for its suburban communities overlooking the Paris metropolitan region.
-
E.
Vesoul Plateau
The Vesoul Plateau is a limestone upland region in eastern France characterized by rolling agricultural landscapes and small rural communities.
- 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_69d822db9c8481908213ceb39585f792 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb3881b788190922932fb8ff81160 |
completed | April 14, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd8ac003b08190923d469b3422cdab |
completed | May 8, 2026, 7:03 a.m. |
Created at: April 10, 2026, 1:23 a.m.