Triple

T15302594
Position Surface form Disambiguated ID Type / Status
Subject Kvinnherad E365824 entity
Predicate containsWaterBody P1778 FINISHED
Object Ænesfjorden
Ænesfjorden is a small fjord in Kvinnherad municipality in Vestland county, western Norway, known for its steep surrounding mountains and scenic coastal landscape.
E1306852 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: Ænesfjorden | Statement: [Kvinnherad, containsWaterBody, Ænesfjorden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ænesfjorden
Context triple: [Kvinnherad, containsWaterBody, Ænesfjorden]
  • A. Andfjorden
    Andfjorden is a large fjord in northern Norway known for its deep waters, rich marine life, and scenic coastal landscapes.
  • B. Åsenfjorden
    Åsenfjorden is a smaller branch of the Trondheimsfjord in central Norway, known for its sheltered waters and surrounding rural landscapes.
  • C. Orkdalsfjorden
    Orkdalsfjorden is a branch of the Trondheimsfjord in central Norway, known for its narrow, fjord-like extension inland toward the town of Orkanger.
  • D. Langfjorden
    Langfjorden is a notable fjord in Norway’s Møre og Romsdal county, characterized by its deep waters and steep surrounding mountains.
  • E. Namsenfjorden
    Namsenfjorden is a fjord in Trøndelag county, Norway, known for its scenic coastal landscape and connection to the Namsen River near the town of Namsos.
  • 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: Ænesfjorden
Triple: [Kvinnherad, containsWaterBody, Ænesfjorden]
Generated description
Ænesfjorden is a small fjord in Kvinnherad municipality in Vestland county, western Norway, known for its steep surrounding mountains and scenic coastal landscape.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ænesfjorden
Target entity description: Ænesfjorden is a small fjord in Kvinnherad municipality in Vestland county, western Norway, known for its steep surrounding mountains and scenic coastal landscape.
  • A. Andfjorden
    Andfjorden is a large fjord in northern Norway known for its deep waters, rich marine life, and scenic coastal landscapes.
  • B. Åsenfjorden
    Åsenfjorden is a smaller branch of the Trondheimsfjord in central Norway, known for its sheltered waters and surrounding rural landscapes.
  • C. Orkdalsfjorden
    Orkdalsfjorden is a branch of the Trondheimsfjord in central Norway, known for its narrow, fjord-like extension inland toward the town of Orkanger.
  • D. Langfjorden
    Langfjorden is a notable fjord in Norway’s Møre og Romsdal county, characterized by its deep waters and steep surrounding mountains.
  • E. Namsenfjorden
    Namsenfjorden is a fjord in Trøndelag county, Norway, known for its scenic coastal landscape and connection to the Namsen River near the town of Namsos.
  • 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_69d85a113ee881908e297a1d38dd79fa completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03ccd575c8190aa43262d3b73ef3c completed April 16, 2026, 1:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a037c1f2ac48190be5990748207819a completed May 12, 2026, 7:14 p.m.
NEDg Description generation batch_6a037e34ca8c81909bdaa64d3777ffb7 completed May 12, 2026, 7:23 p.m.
NED2 Entity disambiguation (via description) batch_6a037ea9aa208190b82e32b47d04a417 completed May 12, 2026, 7:25 p.m.
Created at: April 10, 2026, 3:15 a.m.