Triple

T4340714
Position Surface form Disambiguated ID Type / Status
Subject Stockholm Cathedral E97571 entity
Predicate notableWorkContained P24127 FINISHED
Object Vädersoltavlan
Vädersoltavlan is a famous 16th-century painting depicting a rare halo phenomenon over Stockholm, considered one of the oldest known images of the city.
E432132 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: Vädersoltavlan | Statement: [Stockholm Cathedral, notableWorkContained, Vädersoltavlan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vädersoltavlan
Context triple: [Stockholm Cathedral, notableWorkContained, Vädersoltavlan]
  • A. Vårsta
    Vårsta is a small locality in eastern Sweden, situated within Botkyrka Municipality in Stockholm County.
  • B. Lågen
    Lågen is a major river in southeastern Norway that flows through the Gudbrandsdalen valley before joining the Mjøsa lake.
  • C. Hammerfest
    Hammerfest is a coastal town in northern Norway known as one of the world’s northernmost settlements and a historic Arctic fishing and trading hub.
  • D. Bällsta
    Bällsta is a small locality in eastern central Sweden situated within Vallentuna Municipality in Stockholm County.
  • E. Märsta
    Märsta is a town in Stockholm County, Sweden, known as a residential and transport hub near Stockholm Arlanda Airport.
  • 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: Vädersoltavlan
Triple: [Stockholm Cathedral, notableWorkContained, Vädersoltavlan]
Generated description
Vädersoltavlan is a famous 16th-century painting depicting a rare halo phenomenon over Stockholm, considered one of the oldest known images of the city.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Vädersoltavlan
Target entity description: Vädersoltavlan is a famous 16th-century painting depicting a rare halo phenomenon over Stockholm, considered one of the oldest known images of the city.
  • A. Vårsta
    Vårsta is a small locality in eastern Sweden, situated within Botkyrka Municipality in Stockholm County.
  • B. Lågen
    Lågen is a major river in southeastern Norway that flows through the Gudbrandsdalen valley before joining the Mjøsa lake.
  • C. Hammerfest
    Hammerfest is a coastal town in northern Norway known as one of the world’s northernmost settlements and a historic Arctic fishing and trading hub.
  • D. Bällsta
    Bällsta is a small locality in eastern central Sweden situated within Vallentuna Municipality in Stockholm County.
  • E. Märsta
    Märsta is a town in Stockholm County, Sweden, known as a residential and transport hub near Stockholm Arlanda Airport.
  • 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_69b3454662a481908fbcd0bbfaa3a0a4 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35170a6648190a15ffb21640ee478 completed March 12, 2026, 11:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5d0b301188190af8514a675aebb5f completed March 14, 2026, 9:18 p.m.
NEDg Description generation batch_69b5d137271c8190a2d66fb47eb10d93 completed March 14, 2026, 9:20 p.m.
NED2 Entity disambiguation (via description) batch_69b5d4e5e24c8190980bc545ca0d339d completed March 14, 2026, 9:36 p.m.
Created at: March 12, 2026, 11:14 p.m.