Triple

T15647813
Position Surface form Disambiguated ID Type / Status
Subject Volda E376225 entity
Predicate hasGeographicalFeature P1094 FINISHED
Object Voldafjorden
Voldafjorden is a fjord in western Norway known for its steep surrounding mountains and proximity to the town of Volda in Møre og Romsdal county.
E1465640 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: Voldafjorden | Statement: [Volda, hasGeographicalFeature, Voldafjorden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Voldafjorden
Context triple: [Volda, hasGeographicalFeature, Voldafjorden]
  • A. Vadheimsfjorden
    Vadheimsfjorden is a narrow Norwegian fjord known for its steep surrounding mountains and scenic coastal landscape.
  • B. Vetlefjorden
    Vetlefjorden is a small fjord arm in Vestland county, Norway, known for its scenic landscapes and connection to the larger Sognefjorden.
  • 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. Kvæfjorden
    Kvæfjorden is a fjord in Troms county in northern Norway, known for its scenic coastal landscape and surrounding mountainous terrain.
  • E. Vågsfjorden
    Vågsfjorden is a fjord in northern Norway known for its scenic coastal landscapes and as a maritime hub for surrounding towns and islands.
  • 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: Voldafjorden
Triple: [Volda, hasGeographicalFeature, Voldafjorden]
Generated description
Voldafjorden is a fjord in western Norway known for its steep surrounding mountains and proximity to the town of Volda in Møre og Romsdal county.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Voldafjorden
Target entity description: Voldafjorden is a fjord in western Norway known for its steep surrounding mountains and proximity to the town of Volda in Møre og Romsdal county.
  • A. Vadheimsfjorden
    Vadheimsfjorden is a narrow Norwegian fjord known for its steep surrounding mountains and scenic coastal landscape.
  • B. Vetlefjorden
    Vetlefjorden is a small fjord arm in Vestland county, Norway, known for its scenic landscapes and connection to the larger Sognefjorden.
  • 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. Kvæfjorden
    Kvæfjorden is a fjord in Troms county in northern Norway, known for its scenic coastal landscape and surrounding mountainous terrain.
  • E. Vågsfjorden
    Vågsfjorden is a fjord in northern Norway known for its scenic coastal landscapes and as a maritime hub for surrounding towns and islands.
  • 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_69d85cd1564c8190991adda63bfab4b0 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04ed7212c8190be6ff76afa25f7ca completed April 16, 2026, 2:52 a.m.
NED1 Entity disambiguation (via context triple) batch_6a095a3c0c68819087c51a0a3d7efba7 completed May 17, 2026, 6:03 a.m.
NEDg Description generation batch_6a095aefc3f4819089e89a3b495a6d37 completed May 17, 2026, 6:06 a.m.
NED2 Entity disambiguation (via description) batch_6a095b71e4c08190a41566557503b9a8 completed May 17, 2026, 6:08 a.m.
Created at: April 10, 2026, 4:15 a.m.