Triple

T3687733
Position Surface form Disambiguated ID Type / Status
Subject Tysfjord E78264 entity
Predicate hasBranch P35 FINISHED
Object Hellemofjorden
Hellemofjorden is a narrow fjord branch in Nordland county, Norway, known for its steep surrounding mountains and remote Arctic landscape.
E445246 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: Hellemofjorden | Statement: [Tysfjord, hasBranch, Hellemofjorden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hellemofjorden
Context triple: [Tysfjord, hasBranch, Hellemofjorden]
  • A. Storfjorden
    Storfjorden is a major fjord in western Norway known for its dramatic landscapes and proximity to the coastal town of Ålesund.
  • B. Horgefjorden
    Horgefjorden is a fjord in Rogaland county, Norway, known for its coastal landscapes and proximity to the island municipality of Finnøy.
  • C. Tyrifjorden
    Tyrifjorden is one of Norway’s largest lakes, known for its scenic surroundings and importance as a recreational and ecological area in Eastern Norway.
  • D. Bjørnafjorden
    Bjørnafjorden is a large fjord in western Norway known for its scenic coastal landscape and role as an important marine and transport corridor in Vestland county.
  • E. Bremnesfjorden
    Bremnesfjorden is a fjord in Norway known for its coastal landscape along the island of Averøya.
  • 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: Hellemofjorden
Triple: [Tysfjord, hasBranch, Hellemofjorden]
Generated description
Hellemofjorden is a narrow fjord branch in Nordland county, Norway, known for its steep surrounding mountains and remote Arctic landscape.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hellemofjorden
Target entity description: Hellemofjorden is a narrow fjord branch in Nordland county, Norway, known for its steep surrounding mountains and remote Arctic landscape.
  • A. Storfjorden
    Storfjorden is a major fjord in western Norway known for its dramatic landscapes and proximity to the coastal town of Ålesund.
  • B. Horgefjorden
    Horgefjorden is a fjord in Rogaland county, Norway, known for its coastal landscapes and proximity to the island municipality of Finnøy.
  • C. Tyrifjorden
    Tyrifjorden is one of Norway’s largest lakes, known for its scenic surroundings and importance as a recreational and ecological area in Eastern Norway.
  • D. Bjørnafjorden
    Bjørnafjorden is a large fjord in western Norway known for its scenic coastal landscape and role as an important marine and transport corridor in Vestland county.
  • E. Bremnesfjorden
    Bremnesfjorden is a fjord in Norway known for its coastal landscape along the island of Averøya.
  • 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_69ad85e285a081908f8cbfa9e2ed9b75 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc4c7e2bc81909356c8b0ed90feed completed March 8, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b67b99c00481908b846c610bd29993 completed March 15, 2026, 9:27 a.m.
NEDg Description generation batch_69b67cd06cc48190a99fa3cfef6575ec completed March 15, 2026, 9:33 a.m.
NED2 Entity disambiguation (via description) batch_69b680749cdc8190bcaf4846b9f6f5d4 completed March 15, 2026, 9:48 a.m.
Created at: March 8, 2026, 3:26 p.m.