Triple

T3579250
Position Surface form Disambiguated ID Type / Status
Subject Lysefjord E75760 entity
Predicate municipality P852 FINISHED
Object Strand
Strand is a municipality in Rogaland county, Norway, known for its scenic fjord landscapes and proximity to the famous Lysefjord.
 E370161 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: Strand | Statement: [Lysefjord, municipality, Strand]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Strand
Context triple: [Lysefjord, municipality, Strand]
  • A. Strand
    Strand is a major thoroughfare in central London known for its historic theatres, hotels, and proximity to key landmarks such as Trafalgar Square and the River Thames.
  • B. Strandloper
    Strandloper is a historical novel by Alan Garner that reimagines the life of a Cheshire laborer transported to Australia, blending myth, landscape, and identity.
  • C. Tapestry
    Tapestry is Carole King’s landmark 1971 singer-songwriter album, widely acclaimed for its intimate songwriting and enduring influence on pop and soft rock music.
  • D. Weave
    Weave is Google's Internet of Things (IoT) communication platform designed to let smart devices easily discover, connect, and work together across different ecosystems.
  • E. The Cord
    The Cord is the student-run newspaper serving the Wilfrid Laurier University community with campus news, commentary, and features.
  • 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: Strand
Triple: [Lysefjord, municipality, Strand]
Generated description
Strand is a municipality in Rogaland county, Norway, known for its scenic fjord landscapes and proximity to the famous Lysefjord.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Strand
Target entity description: Strand is a municipality in Rogaland county, Norway, known for its scenic fjord landscapes and proximity to the famous Lysefjord.
  • A. Strand
    Strand is a major thoroughfare in central London known for its historic theatres, hotels, and proximity to key landmarks such as Trafalgar Square and the River Thames.
  • B. Strandloper
    Strandloper is a historical novel by Alan Garner that reimagines the life of a Cheshire laborer transported to Australia, blending myth, landscape, and identity.
  • C. Tapestry
    Tapestry is Carole King’s landmark 1971 singer-songwriter album, widely acclaimed for its intimate songwriting and enduring influence on pop and soft rock music.
  • D. Weave
    Weave is Google's Internet of Things (IoT) communication platform designed to let smart devices easily discover, connect, and work together across different ecosystems.
  • E. The Cord
    The Cord is the student-run newspaper serving the Wilfrid Laurier University community with campus news, commentary, and features.
  • 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_69ad85d5e3008190bdfe0bacdd1f5a1b completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc0defe14819095a337a840e33300 completed March 8, 2026, 6:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3bbc6bc948190a517639f5d79c0a3 completed March 13, 2026, 7:24 a.m.
NEDg Description generation batch_69b3bc93f93c8190a23301340b08d76b completed March 13, 2026, 7:28 a.m.
NED2 Entity disambiguation (via description) batch_69b3f8033cd481909bc0e24fd9d86831 completed March 13, 2026, 11:41 a.m.
Created at: March 8, 2026, 3:21 p.m.