Triple

T5744689
Position Surface form Disambiguated ID Type / Status
Subject Sjusjøen E126700 entity
Predicate hasNameInNorwegian P24009 FINISHED
Object Sjusjøen E126700 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: Sjusjøen | Statement: [Sjusjøen, hasNameInNorwegian, Sjusjøen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sjusjøen
Context triple: [Sjusjøen, hasNameInNorwegian, Sjusjøen]
  • A. Sjusjøen chosen
    Sjusjøen is a popular Norwegian cross-country skiing destination and mountain village known for its extensive trail network and scenic highland landscapes near Lillehammer.
  • B. Sandnessjøen
    Sandnessjøen is a coastal town in northern Norway known as a regional hub for the Helgeland area, with strong ties to maritime industries and access to the surrounding archipelago and mountains.
  • C. Øymarksjøen
    Øymarksjøen is a lake in southeastern Norway known for its forested surroundings, recreational fishing, and role in the local waterway system near the Swedish border.
  • D. Hjeltefjorden
    Hjeltefjorden is a coastal fjord in Vestland county, western Norway, forming an important maritime route north of Bergen between the island of Sotra and the mainland.
  • E. Topdalsfjorden
    Topdalsfjorden is a coastal fjord in southern Norway, located near the city of Kristiansand in Agder county.
  • 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_69c0083179548190b384b0bf3c08ca4d completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c025883b608190b21523da2afde218 completed March 22, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0bf9968d881908ef4065d1d13b2b8 completed March 23, 2026, 4:20 a.m.
Created at: March 22, 2026, 3:48 p.m.