Triple
T597130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sámi |
E11410
|
entity |
| Predicate | hasLanguage |
P15
|
FINISHED |
| Object |
Kildin Sámi
Kildin Sámi is a Uralic language spoken by the Sámi people primarily on Russia’s Kola Peninsula.
|
E81317
|
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: Kildin Sámi | Statement: [Sámi, hasLanguage, Kildin Sámi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kildin Sámi Context triple: [Sámi, hasLanguage, Kildin Sámi]
-
A.
Sámi
The Sámi are an Indigenous Finno-Ugric people of northern Europe, traditionally known for reindeer herding, fishing, and a distinct cultural and linguistic heritage across parts of Norway, Sweden, Finland, and Russia.
-
B.
Yugtun
Yugtun is the Central Alaskan Yup’ik language spoken by Yup’ik people in western and southwestern Alaska.
-
C.
Inari Sámi
Inari Sámi is a Uralic minority language spoken primarily around Lake Inari in northern Finland by the Inari Sámi people.
-
D.
Kalaallisut
Kalaallisut is the Greenlandic Inuit language, an Eskimo–Aleut tongue spoken primarily in Greenland and serving as the territory’s official language.
-
E.
Elfdalian
Elfdalian is a highly conservative North Germanic language spoken in the Älvdalen region of Sweden, preserving many archaic features lost in other Scandinavian languages.
- 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: Kildin Sámi Triple: [Sámi, hasLanguage, Kildin Sámi]
Generated description
Kildin Sámi is a Uralic language spoken by the Sámi people primarily on Russia’s Kola Peninsula.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kildin Sámi Target entity description: Kildin Sámi is a Uralic language spoken by the Sámi people primarily on Russia’s Kola Peninsula.
-
A.
Sámi
The Sámi are an Indigenous Finno-Ugric people of northern Europe, traditionally known for reindeer herding, fishing, and a distinct cultural and linguistic heritage across parts of Norway, Sweden, Finland, and Russia.
-
B.
Yugtun
Yugtun is the Central Alaskan Yup’ik language spoken by Yup’ik people in western and southwestern Alaska.
-
C.
Inari Sámi
Inari Sámi is a Uralic minority language spoken primarily around Lake Inari in northern Finland by the Inari Sámi people.
-
D.
Kalaallisut
Kalaallisut is the Greenlandic Inuit language, an Eskimo–Aleut tongue spoken primarily in Greenland and serving as the territory’s official language.
-
E.
Elfdalian
Elfdalian is a highly conservative North Germanic language spoken in the Älvdalen region of Sweden, preserving many archaic features lost in other Scandinavian languages.
- 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_69a4932779b881908688590d59c71900 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49d2b98d08190a1c1e8659efdfd75 |
completed | March 1, 2026, 8:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a580335a5c819096d0c105178c4ad7 |
completed | March 2, 2026, 12:18 p.m. |
| NEDg | Description generation | batch_69a585a9a85481908b258f5cfc86a28d |
completed | March 2, 2026, 12:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a586c9fe0881908582e60bb9755eba |
completed | March 2, 2026, 12:47 p.m. |
Created at: March 1, 2026, 7:35 p.m.