Triple

T5098086
Position Surface form Disambiguated ID Type / Status
Subject Møre og Romsdal E114915 entity
Predicate containsSettlement P847 FINISHED
Object Langevåg
Langevåg is a village in western Norway known for its coastal setting and proximity to the city of Ålesund.
 E494772 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: Langevåg | Statement: [Møre og Romsdal, containsSettlement, Langevåg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Langevåg
Context triple: [Møre og Romsdal, containsSettlement, Langevåg]
  • A. Langesund
    Langesund is a coastal town in southern Norway known historically as a shipping and timber port and now as a popular summer and ferry destination.
  • B. Kabelvåg
    Kabelvåg is a historic fishing village and tourist destination in the Lofoten archipelago of northern Norway, known for its coastal scenery and traditional architecture.
  • C. Løten
    Løten is a rural municipality in Innlandet county, Norway, known for its agricultural landscape and historic connections to painter Edvard Munch.
  • D. Lågen
    Lågen is a major river in southeastern Norway that flows through the Gudbrandsdalen valley before joining the Mjøsa lake.
  • E. Storslett
    Storslett is a small village and administrative center in Nordreisa Municipality in Troms og Finnmark county in northern Norway.
  • 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: Langevåg
Triple: [Møre og Romsdal, containsSettlement, Langevåg]
Generated description
Langevåg is a village in western Norway known for its coastal setting and proximity to the city of Ålesund.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Langevåg
Target entity description: Langevåg is a village in western Norway known for its coastal setting and proximity to the city of Ålesund.
  • A. Langesund
    Langesund is a coastal town in southern Norway known historically as a shipping and timber port and now as a popular summer and ferry destination.
  • B. Kabelvåg
    Kabelvåg is a historic fishing village and tourist destination in the Lofoten archipelago of northern Norway, known for its coastal scenery and traditional architecture.
  • C. Løten
    Løten is a rural municipality in Innlandet county, Norway, known for its agricultural landscape and historic connections to painter Edvard Munch.
  • D. Lågen
    Lågen is a major river in southeastern Norway that flows through the Gudbrandsdalen valley before joining the Mjøsa lake.
  • E. Storslett
    Storslett is a small village and administrative center in Nordreisa Municipality in Troms og Finnmark county in northern Norway.
  • 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_69bd443fc49c819089629c00e311310c completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7567d21081909227ed8f08b74c71 completed March 20, 2026, 4:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69beba8529ec8190bb1e97eb1044c899 completed March 21, 2026, 3:34 p.m.
NEDg Description generation batch_69bebc65f37c819088077a02c5a2939e completed March 21, 2026, 3:42 p.m.
NED2 Entity disambiguation (via description) batch_69bebcc8ad2481909ec38247b32dfdb0 completed March 21, 2026, 3:44 p.m.
Created at: March 20, 2026, 1:40 p.m.