Triple

T7180096
Position Surface form Disambiguated ID Type / Status
Subject Hellebæk E167423 entity
Predicate hasNearbyLocality P3883 FINISHED
Object Snekkersten
Snekkersten is a coastal village in North Zealand, Denmark, known for its seaside location along the Øresund Strait and its proximity to the town of Helsingør.
 E647876 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: Snekkersten | Statement: [Hellebæk, hasNearbyLocality, Snekkersten]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Snekkersten
Context triple: [Hellebæk, hasNearbyLocality, Snekkersten]
  • A. Spiterstulen
    Spiterstulen is a mountain lodge in Norway’s Jotunheimen region that serves as a key base for hikers and climbers exploring nearby peaks.
  • B. Kista
    Kista is a district in northern Stockholm, Sweden, known as a major hub for information and communications technology companies and research.
  • C. Rubigen
    Rubigen is a small municipality in the canton of Bern in Switzerland, situated near the Aare River just southeast of the city of Bern.
  • D. Nebelstein
    Nebelstein is a prominent mountain in Lower Austria known as the highest elevation in the Waldviertel region and a popular destination for hiking and nature tourism.
  • E. Bergkrystallen
    Bergkrystallen is a residential neighborhood and metro station in Oslo, Norway, serving as the southern endpoint of one of the city's subway lines.
  • 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: Snekkersten
Triple: [Hellebæk, hasNearbyLocality, Snekkersten]
Generated description
Snekkersten is a coastal village in North Zealand, Denmark, known for its seaside location along the Øresund Strait and its proximity to the town of Helsingør.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Snekkersten
Target entity description: Snekkersten is a coastal village in North Zealand, Denmark, known for its seaside location along the Øresund Strait and its proximity to the town of Helsingør.
  • A. Spiterstulen
    Spiterstulen is a mountain lodge in Norway’s Jotunheimen region that serves as a key base for hikers and climbers exploring nearby peaks.
  • B. Kista
    Kista is a district in northern Stockholm, Sweden, known as a major hub for information and communications technology companies and research.
  • C. Rubigen
    Rubigen is a small municipality in the canton of Bern in Switzerland, situated near the Aare River just southeast of the city of Bern.
  • D. Nebelstein
    Nebelstein is a prominent mountain in Lower Austria known as the highest elevation in the Waldviertel region and a popular destination for hiking and nature tourism.
  • E. Bergkrystallen
    Bergkrystallen is a residential neighborhood and metro station in Oslo, Norway, serving as the southern endpoint of one of the city's subway lines.
  • 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_69c6888a7c548190a3d39b52a393080f completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e8ba91908190a9055d4e026b655c completed March 27, 2026, 8:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7b935eb088190acb0b8a6b75addbb completed March 28, 2026, 11:19 a.m.
NEDg Description generation batch_69c7bcfaf8608190908c5b58ecdf9aff completed March 28, 2026, 11:35 a.m.
NED2 Entity disambiguation (via description) batch_69c7bd68f4688190aa8ac988d2435bb7 completed March 28, 2026, 11:37 a.m.
Created at: March 27, 2026, 2:49 p.m.