Triple

T14931331
Position Surface form Disambiguated ID Type / Status
Subject Sápmi E372271 entity
Predicate alsoKnownAs P39 FINISHED
Object Sameland
Sameland is another name for Sápmi, the traditional homeland of the Sámi people spanning parts of northern Norway, Sweden, Finland, and Russia’s Kola Peninsula.
 E1126832 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: Sameland | Statement: [Sápmi, alsoKnownAs, Sameland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sameland
Context triple: [Sápmi, alsoKnownAs, Sameland]
  • A. Krautinsel
    Krautinsel is a small, uninhabited island in Germany’s Chiemsee lake, historically used for agriculture and known for its tranquil natural setting.
  • B. Rübeland
    Rübeland is a village in the Harz Mountains of central Germany, known for its show caves and scenic natural surroundings.
  • C. Lansingerland
    Lansingerland is a Dutch municipality in the province of South Holland, known for its suburban communities and greenhouse horticulture near the city of Rotterdam.
  • D. Foosland
    Foosland is a small village located in Champaign County, Illinois, United States.
  • E. Ammerland
    Ammerland is a locality within the Bavarian municipality of Münsing in Germany, situated near Lake Starnberg.
  • 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: Sameland
Triple: [Sápmi, alsoKnownAs, Sameland]
Generated description
Sameland is another name for Sápmi, the traditional homeland of the Sámi people spanning parts of northern Norway, Sweden, Finland, and Russia’s Kola Peninsula.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sameland
Target entity description: Sameland is another name for Sápmi, the traditional homeland of the Sámi people spanning parts of northern Norway, Sweden, Finland, and Russia’s Kola Peninsula.
  • A. Krautinsel
    Krautinsel is a small, uninhabited island in Germany’s Chiemsee lake, historically used for agriculture and known for its tranquil natural setting.
  • B. Rübeland
    Rübeland is a village in the Harz Mountains of central Germany, known for its show caves and scenic natural surroundings.
  • C. Lansingerland
    Lansingerland is a Dutch municipality in the province of South Holland, known for its suburban communities and greenhouse horticulture near the city of Rotterdam.
  • D. Foosland
    Foosland is a small village located in Champaign County, Illinois, United States.
  • E. Ammerland
    Ammerland is a locality within the Bavarian municipality of Münsing in Germany, situated near Lake Starnberg.
  • 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_69d85cc9da0c81908d583ca3f63a3908 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded64550dc8190ba44120df00ba498 completed April 15, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe72c86b5c81909e601a3fc78276bd completed May 8, 2026, 11:33 p.m.
NEDg Description generation batch_69fe7360c11481908e2e5127b466e31b completed May 8, 2026, 11:36 p.m.
NED2 Entity disambiguation (via description) batch_69fe743c37308190a045ef5f0ade8508 completed May 8, 2026, 11:39 p.m.
Created at: April 10, 2026, 2:36 a.m.