Triple

T9883476
Position Surface form Disambiguated ID Type / Status
Subject Ofoten district E180868 entity
Predicate hasNaturalAttraction P5121 FINISHED
Object Rombaksbotn E674446 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: Rombaksbotn | Statement: [Ofoten district, hasNaturalAttraction, Rombaksbotn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rombaksbotn
Context triple: [Ofoten district, hasNaturalAttraction, Rombaksbotn]
  • A. Rombaksbotn chosen
    Rombaksbotn is a small settlement in Narvik Municipality in Nordland county, Norway, situated at the innermost part of the Rombaken fjord.
  • B. Bergshamra
    Bergshamra is a residential district in the northern Stockholm urban area of Sweden, known for its proximity to green spaces and good public transport connections.
  • C. Thamerdal
    Thamerdal is a residential neighborhood within the Dutch town of Uithoorn in the province of North Holland.
  • D. Barnacken
    Barnacken is a hill in North Rhine-Westphalia, Germany, known as the highest elevation in the Teutoburg Forest range.
  • E. Brekke
    Brekke is a neighborhood in the Nordre Aker borough of Oslo, Norway.
  • 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_69ca828082cc8190a40f8d299caa6545 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cdb453b388819095a5070399d9788d completed April 2, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1eaf0afcc81908d263df7651958e2 completed April 5, 2026, 4:54 a.m.
Created at: March 30, 2026, 8:38 p.m.