Triple

T15760459
Position Surface form Disambiguated ID Type / Status
Subject Lebesby E382081 entity
Predicate containsSettlement P847 FINISHED
Object Bekkarfjord
Bekkarfjord is a small coastal settlement in Lebesby Municipality in Troms og Finnmark county in northern Norway.
E1535640 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: Bekkarfjord | Statement: [Lebesby, containsSettlement, Bekkarfjord]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bekkarfjord
Context triple: [Lebesby, containsSettlement, Bekkarfjord]
  • A. Rekefjord
    Rekefjord is a coastal fjord and harbor area in Rogaland county, southwestern Norway, known for its maritime setting and proximity to the village of Sokndal.
  • B. Hjørundfjord
    Hjørundfjord is a dramatic, narrow fjord in Norway’s Sunnmøre region, renowned for its steep mountain walls, deep waters, and scenic, relatively untouched natural landscapes.
  • C. Vadheimsfjorden
    Vadheimsfjorden is a narrow Norwegian fjord known for its steep surrounding mountains and scenic coastal landscape.
  • D. Boknafjorden
    Boknafjorden is a large fjord in Rogaland county in southwestern Norway, known for its many islands and role as an important maritime route.
  • E. Finnfjorden
    Finnfjorden is a Norwegian fjord located in Troms og Finnmark county, known for its rugged coastal scenery and connection to surrounding straits and waterways.
  • 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: Bekkarfjord
Triple: [Lebesby, containsSettlement, Bekkarfjord]
Generated description
Bekkarfjord is a small coastal settlement in Lebesby Municipality in Troms og Finnmark county in northern Norway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bekkarfjord
Target entity description: Bekkarfjord is a small coastal settlement in Lebesby Municipality in Troms og Finnmark county in northern Norway.
  • A. Rekefjord
    Rekefjord is a coastal fjord and harbor area in Rogaland county, southwestern Norway, known for its maritime setting and proximity to the village of Sokndal.
  • B. Hjørundfjord
    Hjørundfjord is a dramatic, narrow fjord in Norway’s Sunnmøre region, renowned for its steep mountain walls, deep waters, and scenic, relatively untouched natural landscapes.
  • C. Vadheimsfjorden
    Vadheimsfjorden is a narrow Norwegian fjord known for its steep surrounding mountains and scenic coastal landscape.
  • D. Boknafjorden
    Boknafjorden is a large fjord in Rogaland county in southwestern Norway, known for its many islands and role as an important maritime route.
  • E. Finnfjorden
    Finnfjorden is a Norwegian fjord located in Troms og Finnmark county, known for its rugged coastal scenery and connection to surrounding straits and waterways.
  • 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_69d86d9e6b44819085d1f6a969ecb74c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e050b52c548190a0ffa4493a4eb15c completed April 16, 2026, 3 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0af0c3ccc0819089f78016552e8553 completed May 18, 2026, 10:58 a.m.
NEDg Description generation batch_6a0af24f7d748190a1bcff53ba987dc7 completed May 18, 2026, 11:04 a.m.
NED2 Entity disambiguation (via description) batch_6a0af2e63a748190bb9743841a3c9f73 completed May 18, 2026, 11:07 a.m.
Created at: April 10, 2026, 4:47 a.m.