Triple
T3519084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saami Council |
E74375
|
entity |
| Predicate | regionServed |
P82
|
FINISHED |
| Object |
Sápmi
Sápmi is the traditional homeland of the Sámi people, spanning northern parts of Norway, Sweden, Finland, and Russia’s Kola Peninsula.
|
E372271
|
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: Sápmi | Statement: [Saami Council, regionServed, Sápmi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sápmi Context triple: [Saami Council, regionServed, Sápmi]
-
A.
Lapland
Lapland is a sparsely populated Arctic region in northern Finland known for its subarctic wilderness, indigenous Sámi culture, and reputation as the home of Santa Claus.
-
B.
Fennoscandia
Fennoscandia is a geological and geographical region in northern Europe that encompasses the Scandinavian and Kola peninsulas, Finland, and parts of northwestern Russia.
-
C.
Vestland
Vestland is a county in western Norway known for its dramatic fjords, coastal landscapes, and the city of Bergen.
-
D.
Nord
Nord is a department in northern France known for its industrial heritage, dense population, and proximity to Belgium.
-
E.
Norden
Norden is a suburban village and residential area within the Metropolitan Borough of Rochdale in Greater Manchester, England.
- 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: Sápmi Triple: [Saami Council, regionServed, Sápmi]
Generated description
Sápmi is the traditional homeland of the Sámi people, spanning northern parts of Norway, Sweden, Finland, and Russia’s Kola Peninsula.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sápmi Target entity description: Sápmi is the traditional homeland of the Sámi people, spanning northern parts of Norway, Sweden, Finland, and Russia’s Kola Peninsula.
-
A.
Lapland
Lapland is a sparsely populated Arctic region in northern Finland known for its subarctic wilderness, indigenous Sámi culture, and reputation as the home of Santa Claus.
-
B.
Fennoscandia
Fennoscandia is a geological and geographical region in northern Europe that encompasses the Scandinavian and Kola peninsulas, Finland, and parts of northwestern Russia.
-
C.
Vestland
Vestland is a county in western Norway known for its dramatic fjords, coastal landscapes, and the city of Bergen.
-
D.
Nord
Nord is a department in northern France known for its industrial heritage, dense population, and proximity to Belgium.
-
E.
Norden
Norden is a suburban village and residential area within the Metropolitan Borough of Rochdale in Greater Manchester, England.
- 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_69ad85cfb5c881909c9a2edd9d6043cc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc49dea88190924c8abd29aabdad |
completed | March 8, 2026, 6:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b402d81ee081908463b38d85b5bea3 |
completed | March 13, 2026, 12:28 p.m. |
| NEDg | Description generation | batch_69b40335a05c8190b51414f284bd6429 |
completed | March 13, 2026, 12:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b40a6bd4888190a26989e5f6770e2c |
completed | March 13, 2026, 1 p.m. |
Created at: March 8, 2026, 3:19 p.m.