Triple
T597133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sámi |
E11410
|
entity |
| Predicate | hasLanguage |
P15
|
FINISHED |
| Object |
Ter Sámi
Ter Sámi is a critically endangered Uralic language traditionally spoken by the Ter Sámi people in the northeastern part of the Kola Peninsula in Russia.
|
E82896
|
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: Ter Sámi | Statement: [Sámi, hasLanguage, Ter Sámi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ter Sámi Context triple: [Sámi, hasLanguage, Ter Sámi]
-
A.
Inari Sámi
Inari Sámi is a Uralic minority language spoken primarily around Lake Inari in northern Finland by the Inari Sámi people.
-
B.
Mo i Rana
Mo i Rana is an industrial town in Nordland county, Norway, known for its steel industry, proximity to the Arctic Circle, and role as a regional hub in Northern Norway.
-
C.
Gjallarhorn
Gjallarhorn is the resounding horn of the god Heimdall in Norse mythology, famously used to signal the onset of Ragnarök.
-
D.
Pite Sámi
Pite Sámi is an endangered Uralic language traditionally spoken by the Sámi people in the Arjeplog area of northern Sweden.
-
E.
Troms
Troms was a former county in northern Norway known for its Arctic landscapes, coastal fjords, and the city of Tromsø.
- 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: Ter Sámi Triple: [Sámi, hasLanguage, Ter Sámi]
Generated description
Ter Sámi is a critically endangered Uralic language traditionally spoken by the Ter Sámi people in the northeastern part of the Kola Peninsula in Russia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ter Sámi Target entity description: Ter Sámi is a critically endangered Uralic language traditionally spoken by the Ter Sámi people in the northeastern part of the Kola Peninsula in Russia.
-
A.
Inari Sámi
Inari Sámi is a Uralic minority language spoken primarily around Lake Inari in northern Finland by the Inari Sámi people.
-
B.
Mo i Rana
Mo i Rana is an industrial town in Nordland county, Norway, known for its steel industry, proximity to the Arctic Circle, and role as a regional hub in Northern Norway.
-
C.
Gjallarhorn
Gjallarhorn is the resounding horn of the god Heimdall in Norse mythology, famously used to signal the onset of Ragnarök.
-
D.
Pite Sámi
Pite Sámi is an endangered Uralic language traditionally spoken by the Sámi people in the Arjeplog area of northern Sweden.
-
E.
Troms
Troms was a former county in northern Norway known for its Arctic landscapes, coastal fjords, and the city of Tromsø.
- 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_69a5c389eb708190911de8a28e55ab7f |
completed | March 2, 2026, 5:06 p.m. |
| NEDg | Description generation | batch_69a5c931f4108190a5a4f1ed6241330d |
completed | March 2, 2026, 5:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a5ce4e6a74819082987a4c63023e48 |
completed | March 2, 2026, 5:52 p.m. |
Created at: March 1, 2026, 7:35 p.m.