Triple

T15529043
Position Surface form Disambiguated ID Type / Status
Subject Strand E370161 entity
Predicate hasIsland P970 FINISHED
Object Sør-Hidle
Sør-Hidle is a small Norwegian island in Rogaland county, known for its scenic landscapes and proximity to the municipality of Strand.
E1180158 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: Sør-Hidle | Statement: [Strand, hasIsland, Sør-Hidle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sør-Hidle
Context triple: [Strand, hasIsland, Sør-Hidle]
  • A. Sørenga
    Sørenga is a modern waterfront neighborhood in Oslo, Norway, known for its residential developments, seaside promenade, and popular public seawater pool and beach.
  • B. Sørreisa
    Sørreisa is a small coastal municipality and village area in northern Norway known for its fjords and rural Arctic landscape.
  • C. Heidal
    Heidal is a village in Innlandet county, Norway, known for its traditional wooden architecture and scenic location in the Gudbrandsdalen valley.
  • D. Gravdal
    Gravdal is a small coastal village on the island of Vestvågøy in Norway’s Lofoten archipelago.
  • E. Songdalen
    Songdalen is a former municipality in Agder county, Norway, now part of the city of Kristiansand and known for its rural landscapes and proximity to the Songdalselva river.
  • 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: Sør-Hidle
Triple: [Strand, hasIsland, Sør-Hidle]
Generated description
Sør-Hidle is a small Norwegian island in Rogaland county, known for its scenic landscapes and proximity to the municipality of Strand.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sør-Hidle
Target entity description: Sør-Hidle is a small Norwegian island in Rogaland county, known for its scenic landscapes and proximity to the municipality of Strand.
  • A. Sørenga
    Sørenga is a modern waterfront neighborhood in Oslo, Norway, known for its residential developments, seaside promenade, and popular public seawater pool and beach.
  • B. Sørreisa
    Sørreisa is a small coastal municipality and village area in northern Norway known for its fjords and rural Arctic landscape.
  • C. Heidal
    Heidal is a village in Innlandet county, Norway, known for its traditional wooden architecture and scenic location in the Gudbrandsdalen valley.
  • D. Gravdal
    Gravdal is a small coastal village on the island of Vestvågøy in Norway’s Lofoten archipelago.
  • E. Songdalen
    Songdalen is a former municipality in Agder county, Norway, now part of the city of Kristiansand and known for its rural landscapes and proximity to the Songdalselva river.
  • 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_69d85cc521a08190921fb50319dddc34 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e0414620588190958ffde651ccab5f completed April 16, 2026, 1:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffa121f814819096a69cf5ef0003ee completed May 9, 2026, 9:03 p.m.
NEDg Description generation batch_69ffa417ee248190808b0fecfb58d705 completed May 9, 2026, 9:16 p.m.
NED2 Entity disambiguation (via description) batch_69ffa5372f248190827cdc4985fee1ef completed May 9, 2026, 9:20 p.m.
Created at: April 10, 2026, 4:05 a.m.