Triple

T8090032
Position Surface form Disambiguated ID Type / Status
Subject Hirsholmene E188833 entity
Predicate hasPart P35 FINISHED
Object Hirsholm
Hirsholm is a small Danish island in the Kattegat Sea, known for its protected nature reserve and seabird colonies.
 E711359 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: Hirsholm | Statement: [Hirsholmene, hasPart, Hirsholm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hirsholm
Context triple: [Hirsholmene, hasPart, Hirsholm]
  • A. Merrild
    Merrild is a coffee brand and company known primarily in Northern Europe, offering a range of ground and whole-bean coffees.
  • B. Haslum
    Haslum is a suburban area in Bærum, Norway, known for its residential neighborhoods and proximity to Oslo.
  • C. Holmen
    Holmen is a residential neighborhood in Oslo, Norway, known for its green surroundings and location within the borough of Vestre Aker.
  • D. Nørholm
    Nørholm is a historic estate in southern Norway best known as the longtime home of Nobel Prize–winning author Knut Hamsun (born Knut Pedersen).
  • E. Hohberg
    Hohberg is a municipality in the Ortenau district of Baden-Württemberg in southwestern Germany.
  • 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: Hirsholm
Triple: [Hirsholmene, hasPart, Hirsholm]
Generated description
Hirsholm is a small Danish island in the Kattegat Sea, known for its protected nature reserve and seabird colonies.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hirsholm
Target entity description: Hirsholm is a small Danish island in the Kattegat Sea, known for its protected nature reserve and seabird colonies.
  • A. Merrild
    Merrild is a coffee brand and company known primarily in Northern Europe, offering a range of ground and whole-bean coffees.
  • B. Haslum
    Haslum is a suburban area in Bærum, Norway, known for its residential neighborhoods and proximity to Oslo.
  • C. Holmen
    Holmen is a residential neighborhood in Oslo, Norway, known for its green surroundings and location within the borough of Vestre Aker.
  • D. Nørholm
    Nørholm is a historic estate in southern Norway best known as the longtime home of Nobel Prize–winning author Knut Hamsun (born Knut Pedersen).
  • E. Hohberg
    Hohberg is a municipality in the Ortenau district of Baden-Württemberg in southwestern Germany.
  • 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_69ca82b7b3e88190b9041ab0ef28b3cb completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb421e30e88190b9699b338b69b81c completed March 31, 2026, 3:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc640a42648190bc1a3072eb338e22 completed April 1, 2026, 12:17 a.m.
NEDg Description generation batch_69cc68d9032c8190af6c5ff64fe46aff completed April 1, 2026, 12:37 a.m.
NED2 Entity disambiguation (via description) batch_69cc69f6bb308190a95df95d1a67cfec completed April 1, 2026, 12:42 a.m.
Created at: March 30, 2026, 5:29 p.m.