Triple

T12145277
Position Surface form Disambiguated ID Type / Status
Subject Norrköping E289301 entity
Predicate hasNotablePark P642 FINISHED
Object Himmelstalund
Himmelstalund is a large park area in Norrköping, Sweden, best known for its extensive Bronze Age rock carvings and recreational green spaces.
E965099 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: Himmelstalund | Statement: [Norrköping, hasNotablePark, Himmelstalund]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Himmelstalund
Context triple: [Norrköping, hasNotablePark, Himmelstalund]
  • A. Breidtinden
    Breidtinden is a prominent mountain peak on the Norwegian island of Senja, known for its rugged alpine scenery and panoramic views over the surrounding fjords.
  • B. Kragstalund
    Kragstalund is a residential locality situated within Vallentuna Municipality in Stockholm County, Sweden.
  • C. Thamerdal
    Thamerdal is a residential neighborhood within the Dutch town of Uithoorn in the province of North Holland.
  • D. Sundvollen
    Sundvollen is a small village in Norway known for its scenic location by Tyrifjorden and as a gateway to popular hiking areas like Krokskogen and viewpoints such as Kongens utsikt.
  • E. Harestua
    Harestua is a village in Viken county, Norway, known for its residential community and proximity to the Harestua Solar Observatory.
  • 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: Himmelstalund
Triple: [Norrköping, hasNotablePark, Himmelstalund]
Generated description
Himmelstalund is a large park area in Norrköping, Sweden, best known for its extensive Bronze Age rock carvings and recreational green spaces.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Himmelstalund
Target entity description: Himmelstalund is a large park area in Norrköping, Sweden, best known for its extensive Bronze Age rock carvings and recreational green spaces.
  • A. Breidtinden
    Breidtinden is a prominent mountain peak on the Norwegian island of Senja, known for its rugged alpine scenery and panoramic views over the surrounding fjords.
  • B. Kragstalund
    Kragstalund is a residential locality situated within Vallentuna Municipality in Stockholm County, Sweden.
  • C. Thamerdal
    Thamerdal is a residential neighborhood within the Dutch town of Uithoorn in the province of North Holland.
  • D. Sundvollen
    Sundvollen is a small village in Norway known for its scenic location by Tyrifjorden and as a gateway to popular hiking areas like Krokskogen and viewpoints such as Kongens utsikt.
  • E. Harestua
    Harestua is a village in Viken county, Norway, known for its residential community and proximity to the Harestua Solar Observatory.
  • 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_69d6ab4c6710819097a9d228382dde43 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915aacaa08190b31f54e230334406 completed April 10, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f696ec648190aa43655ac8a2b312 completed May 2, 2026, 1:05 p.m.
NEDg Description generation batch_69f600b7385881909ddb86a1d39ff5d4 completed May 2, 2026, 1:48 p.m.
NED2 Entity disambiguation (via description) batch_69f601e7f3b0819098a2245b9f9316b9 completed May 2, 2026, 1:53 p.m.
Created at: April 8, 2026, 9:49 p.m.