Triple

T7398512
Position Surface form Disambiguated ID Type / Status
Subject North Sea coast of Denmark E170685 entity
Predicate contains P35 FINISHED
Object Blokhus
Blokhus is a Danish seaside resort town known for its wide sandy beaches, coastal dunes, and tourism along the North Sea.
 E663978 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: Blokhus | Statement: [North Sea coast of Denmark, contains, Blokhus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Blokhus
Context triple: [North Sea coast of Denmark, contains, Blokhus]
  • A. Rotebro
    Rotebro is a suburban district in the northern Stockholm area of Sweden, known for its residential neighborhoods and commuter connections.
  • B. Fagerborg
    Fagerborg is a residential neighborhood in Oslo, Norway, known for its central location, historic buildings, and proximity to major educational institutions.
  • C. Blackeberg
    Blackeberg is a suburban district in western Stockholm, Sweden, best known internationally as the bleak, wintry backdrop of the Swedish vampire novel and film "Let the Right One In."
  • D. Blangsted
    Blangsted is a surname most notably associated with Folmar Blangsted, a film editor.
  • E. Haslum
    Haslum is a suburban area in Bærum, Norway, known for its residential neighborhoods and proximity to Oslo.
  • 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: Blokhus
Triple: [North Sea coast of Denmark, contains, Blokhus]
Generated description
Blokhus is a Danish seaside resort town known for its wide sandy beaches, coastal dunes, and tourism along the North Sea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Blokhus
Target entity description: Blokhus is a Danish seaside resort town known for its wide sandy beaches, coastal dunes, and tourism along the North Sea.
  • A. Rotebro
    Rotebro is a suburban district in the northern Stockholm area of Sweden, known for its residential neighborhoods and commuter connections.
  • B. Fagerborg
    Fagerborg is a residential neighborhood in Oslo, Norway, known for its central location, historic buildings, and proximity to major educational institutions.
  • C. Blackeberg
    Blackeberg is a suburban district in western Stockholm, Sweden, best known internationally as the bleak, wintry backdrop of the Swedish vampire novel and film "Let the Right One In."
  • D. Blangsted
    Blangsted is a surname most notably associated with Folmar Blangsted, a film editor.
  • E. Haslum
    Haslum is a suburban area in Bærum, Norway, known for its residential neighborhoods and proximity to Oslo.
  • 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_69c68a5f04188190ac266569c9280347 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f24c1c208190a3d11e816888760d completed March 27, 2026, 9:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69c81ed378308190b925941415db596d completed March 28, 2026, 6:32 p.m.
NEDg Description generation batch_69c8212546848190bcc9b6e15ad726b4 completed March 28, 2026, 6:42 p.m.
NED2 Entity disambiguation (via description) batch_69c8230e2b3481909a6460a38be2a478 completed March 28, 2026, 6:50 p.m.
Created at: March 27, 2026, 3:09 p.m.