Triple

T16708422
Position Surface form Disambiguated ID Type / Status
Subject Aurland Municipality E406031 entity
Predicate hasTouristVillage P55845 FINISHED
Object Undredal E1152394 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: Undredal | Statement: [Aurland Municipality, hasTouristVillage, Undredal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Undredal
Context triple: [Aurland Municipality, hasTouristVillage, Undredal]
  • A. Undredal chosen
    Undredal is a small, picturesque Norwegian village famed for its fjordside setting, traditional goat cheese production, and one of the world’s smallest stave churches.
  • B. Thamerdal
    Thamerdal is a residential neighborhood within the Dutch town of Uithoorn in the province of North Holland.
  • C. Mortsund
    Mortsund is a small fishing village located on the island of Vestvågøy in Norway’s Lofoten archipelago.
  • D. Rasdal
    Rasdal is a Norwegian surname associated with former professional footballer Alf-Inge Haaland.
  • E. Tyssedal
    Tyssedal is a small industrial village in Vestland county, Norway, known for its historic hydropower facilities and scenic location by the Sørfjorden.
  • 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_69d8838db21081909589220fd71440a4 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e38650c3808190a561f22b169dc3ae completed April 18, 2026, 1:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a009d3adef081908692a4a86d7a0779 completed May 10, 2026, 2:59 p.m.
Created at: April 10, 2026, 5:20 a.m.