Triple
T6436077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Far North Region |
E129896
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Extrême-Nord
Extrême-Nord is a region in northern Cameroon known for its Sahelian climate, diverse ethnic groups, and proximity to Lake Chad and the Nigerian border.
|
E593192
|
NE FINISHED |
How this triple was built (4 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: Extrême-Nord | Statement: [Far North Region, hasAlternativeName, Extrême-Nord]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Extrême-Nord Context triple: [Far North Region, hasAlternativeName, Extrême-Nord]
-
A.
Vestland
Vestland is a county in western Norway known for its dramatic fjords, coastal landscapes, and the city of Bergen.
-
B.
Nord
Nord is a department in northern France known for its industrial heritage, dense population, and proximity to Belgium.
-
C.
Nordlandet
Nordlandet is one of the main islands and districts of the coastal Norwegian city of Kristiansund.
-
D.
Sør-Varanger
Sør-Varanger is a municipality in Troms og Finnmark county in far northeastern Norway, bordering Russia and Finland and known for its main town, Kirkenes.
-
E.
Novaya Zemlya
Novaya Zemlya is a remote Russian Arctic archipelago known for its harsh climate, strategic military significance, and as the site of extensive Soviet nuclear testing, including the Tsar Bomba.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Extrême-Nord Triple: [Far North Region, hasAlternativeName, Extrême-Nord]
Generated description
Extrême-Nord is a region in northern Cameroon known for its Sahelian climate, diverse ethnic groups, and proximity to Lake Chad and the Nigerian border.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Extrême-Nord Target entity description: Extrême-Nord is a region in northern Cameroon known for its Sahelian climate, diverse ethnic groups, and proximity to Lake Chad and the Nigerian border.
-
A.
Vestland
Vestland is a county in western Norway known for its dramatic fjords, coastal landscapes, and the city of Bergen.
-
B.
Nord
Nord is a department in northern France known for its industrial heritage, dense population, and proximity to Belgium.
-
C.
Nordlandet
Nordlandet is one of the main islands and districts of the coastal Norwegian city of Kristiansund.
-
D.
Sør-Varanger
Sør-Varanger is a municipality in Troms og Finnmark county in far northeastern Norway, bordering Russia and Finland and known for its main town, Kirkenes.
-
E.
Novaya Zemlya
Novaya Zemlya is a remote Russian Arctic archipelago known for its harsh climate, strategic military significance, and as the site of extensive Soviet nuclear testing, including the Tsar Bomba.
- F. None of above. chosen
Provenance (5 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_69c0084caac48190a7bc2ad8ba44536f |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c069622eb881908b40fc8079d312d6 |
completed | March 22, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c640f2915c8190aea3578dcd77dd5f |
completed | March 27, 2026, 8:33 a.m. |
| NEDg | Description generation | batch_69c64237ae8881908bbaa2760113da7c |
completed | March 27, 2026, 8:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c64658463c8190a1d68beec15cab3d |
completed | March 27, 2026, 8:56 a.m. |
Created at: March 22, 2026, 4:45 p.m.