Triple

T5891346
Position Surface form Disambiguated ID Type / Status
Subject Premier of Åland E130994 entity
Predicate nativeLabel P657 FINISHED
Object Lantrådet
Lantrådet is the title used for the head of government of the autonomous Finnish region of Åland.
E552368 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: Lantrådet | Statement: [Premier of Åland, nativeLabel, Lantrådet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lantrådet
Context triple: [Premier of Åland, nativeLabel, Lantrådet]
  • A. Dovrebanen
    Dovrebanen is a major Norwegian railway line connecting Oslo and Trondheim across the Dovrefjell mountain area.
  • B. Lågen
    Lågen is a major river in southeastern Norway that flows through the Gudbrandsdalen valley before joining the Mjøsa lake.
  • C. Luoravetlan
    Luoravetlan is an indigenous people of northeastern Siberia, traditionally semi-nomadic reindeer herders and coastal hunters living in the Chukotka region of Russia.
  • D. Runhällen
    Runhällen is a small locality in central Sweden situated within Heby Municipality in Uppsala County.
  • E. Vatteluttu
    Vatteluttu is an ancient South Indian script used primarily to write early Tamil and Malayalam before being replaced by the modern Tamil and Malayalam scripts.
  • 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: Lantrådet
Triple: [Premier of Åland, nativeLabel, Lantrådet]
Generated description
Lantrådet is the title used for the head of government of the autonomous Finnish region of Åland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lantrådet
Target entity description: Lantrådet is the title used for the head of government of the autonomous Finnish region of Åland.
  • A. Dovrebanen
    Dovrebanen is a major Norwegian railway line connecting Oslo and Trondheim across the Dovrefjell mountain area.
  • B. Lågen
    Lågen is a major river in southeastern Norway that flows through the Gudbrandsdalen valley before joining the Mjøsa lake.
  • C. Luoravetlan
    Luoravetlan is an indigenous people of northeastern Siberia, traditionally semi-nomadic reindeer herders and coastal hunters living in the Chukotka region of Russia.
  • D. Runhällen
    Runhällen is a small locality in central Sweden situated within Heby Municipality in Uppsala County.
  • E. Vatteluttu
    Vatteluttu is an ancient South Indian script used primarily to write early Tamil and Malayalam before being replaced by the modern Tamil and Malayalam scripts.
  • 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_69c00857439c819095950754176aa58a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c036b45bec81908a13f39bbc181a59 completed March 22, 2026, 6:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b14c2ff081908243988d5815be6d completed March 23, 2026, 3:19 a.m.
NEDg Description generation batch_69c0b1fabe448190be7d93b1f8c17c2a completed March 23, 2026, 3:22 a.m.
NED2 Entity disambiguation (via description) batch_69c0b29d6048819086c4d4cd01c64a51 completed March 23, 2026, 3:25 a.m.
Created at: March 22, 2026, 3:58 p.m.