Triple

T3687602
Position Surface form Disambiguated ID Type / Status
Subject Bømlo E78261 entity
Predicate hasIsland P970 FINISHED
Object Espevær
Espevær is a small island and fishing village in Vestland county, Norway, known for its traditional coastal culture and scenic maritime environment.
 E380400 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: Espevær | Statement: [Bømlo, hasIsland, Espevær]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Espevær
Context triple: [Bømlo, hasIsland, Espevær]
  • A. Storvreten
    Storvreten is a residential locality within Botkyrka Municipality in the Stockholm County area of Sweden.
  • B. Svaneke
    Svaneke is a picturesque coastal town on the Danish island of Bornholm, known for its well-preserved half-timbered houses, harbor, and traditional smokehouses.
  • C. Rigmor
    Rigmor is a feminine given name of Scandinavian origin, particularly used in Norway and Denmark.
  • D. Valbo
    Valbo is a locality in Gävleborg County, Sweden, known as the hometown of NHL ice hockey star Nicklas Bäckström.
  • E. Solbo
    Solbo is a locality within Botkyrka Municipality in Stockholm County, Sweden.
  • 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: Espevær
Triple: [Bømlo, hasIsland, Espevær]
Generated description
Espevær is a small island and fishing village in Vestland county, Norway, known for its traditional coastal culture and scenic maritime environment.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Espevær
Target entity description: Espevær is a small island and fishing village in Vestland county, Norway, known for its traditional coastal culture and scenic maritime environment.
  • A. Storvreten
    Storvreten is a residential locality within Botkyrka Municipality in the Stockholm County area of Sweden.
  • B. Svaneke
    Svaneke is a picturesque coastal town on the Danish island of Bornholm, known for its well-preserved half-timbered houses, harbor, and traditional smokehouses.
  • C. Rigmor
    Rigmor is a feminine given name of Scandinavian origin, particularly used in Norway and Denmark.
  • D. Valbo
    Valbo is a locality in Gävleborg County, Sweden, known as the hometown of NHL ice hockey star Nicklas Bäckström.
  • E. Solbo
    Solbo is a locality within Botkyrka Municipality in Stockholm County, Sweden.
  • 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_69ad85e285a081908f8cbfa9e2ed9b75 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc4c7e2bc81909356c8b0ed90feed completed March 8, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4c3c10f6481908feed99cddc56d47 completed March 14, 2026, 2:11 a.m.
NEDg Description generation batch_69b4c7bd861c8190a1a7887f6d7fd6de completed March 14, 2026, 2:28 a.m.
NED2 Entity disambiguation (via description) batch_69b4c83085488190a48c6e4786d275e2 completed March 14, 2026, 2:30 a.m.
Created at: March 8, 2026, 3:26 p.m.