Triple

T15751577
Position Surface form Disambiguated ID Type / Status
Subject Lyngen Alps E381858 entity
Predicate highestPoint P210 FINISHED
Object Jiehkkevárri E381862 NE FINISHED

How this triple was built (2 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: Jiehkkevárri | Statement: [Lyngen Alps, highestPoint, Jiehkkevárri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jiehkkevárri
Context triple: [Lyngen Alps, highestPoint, Jiehkkevárri]
  • A. Jiehkkevárri chosen
    Jiehkkevárri is a prominent glaciated mountain massif in northern Norway, renowned among climbers and skiers for its challenging terrain and alpine scenery.
  • B. Lakkjia
    Lakkjia is an alternative name for the Lakkia language, a Kam–Sui language spoken by the Lakkia people in parts of southern China.
  • C. Halvad
    Halvad is a town in the Morbi district of Gujarat, India, known for its local trade and regional connectivity.
  • D. Harestua
    Harestua is a village in Viken county, Norway, known for its residential community and proximity to the Harestua Solar Observatory.
  • E. Lugnvik
    Lugnvik is a residential area and locality within Östersund Municipality in central Sweden, known for its proximity to Lake Storsjön and the city of Östersund.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d86d9e6b44819085d1f6a969ecb74c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e05030e31081908c307a8dc7067db4 completed April 16, 2026, 2:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff876d48588190afec7722cca25633 completed May 9, 2026, 7:13 p.m.
Created at: April 10, 2026, 4:47 a.m.