Triple

T15878517
Position Surface form Disambiguated ID Type / Status
Subject Gloppen E385011 entity
Predicate hasLake P1025 FINISHED
Object Hyefjorden
Hyefjorden is a scenic fjord-like lake in Vestland county, Norway, known for its steep surrounding mountains and deep, narrow waters.
E1574367 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: Hyefjorden | Statement: [Gloppen, hasLake, Hyefjorden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hyefjorden
Context triple: [Gloppen, hasLake, Hyefjorden]
  • A. 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.
  • B. Heggefjorden
    Heggefjorden is a lake in the municipality of Øystre Slidre in Innlandet county, Norway, known for its scenic mountain surroundings and traditional rural landscape.
  • C. Vadheimsfjorden
    Vadheimsfjorden is a narrow Norwegian fjord known for its steep surrounding mountains and scenic coastal landscape.
  • D. 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.
  • E. Langfjorden
    Langfjorden is a notable fjord in Norway’s Møre og Romsdal county, characterized by its deep waters and steep surrounding mountains.
  • 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: Hyefjorden
Triple: [Gloppen, hasLake, Hyefjorden]
Generated description
Hyefjorden is a scenic fjord-like lake in Vestland county, Norway, known for its steep surrounding mountains and deep, narrow waters.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hyefjorden
Target entity description: Hyefjorden is a scenic fjord-like lake in Vestland county, Norway, known for its steep surrounding mountains and deep, narrow waters.
  • A. 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.
  • B. Heggefjorden
    Heggefjorden is a lake in the municipality of Øystre Slidre in Innlandet county, Norway, known for its scenic mountain surroundings and traditional rural landscape.
  • C. Vadheimsfjorden
    Vadheimsfjorden is a narrow Norwegian fjord known for its steep surrounding mountains and scenic coastal landscape.
  • D. 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.
  • E. Langfjorden
    Langfjorden is a notable fjord in Norway’s Møre og Romsdal county, characterized by its deep waters and steep surrounding mountains.
  • 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_69d86da4e86481909f1325fdc971b5ec completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e155ff96588190b8fca1c3bf4a39a2 completed April 16, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0c3067ee84819095187ea47376c1b2 completed May 19, 2026, 9:42 a.m.
NEDg Description generation batch_6a0c317030c481908991f978ca15085e completed May 19, 2026, 9:46 a.m.
NED2 Entity disambiguation (via description) batch_6a0c322595308190b33c9e09fb26c2cc completed May 19, 2026, 9:49 a.m.
Created at: April 10, 2026, 4:51 a.m.