Triple

T8090037
Position Surface form Disambiguated ID Type / Status
Subject Hirsholmene E188833 entity
Predicate hasPart P35 FINISHED
Object Kloben
Kloben is one of the small islands in the Hirsholmene archipelago off the coast of northern Denmark.
 E711363 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: Kloben | Statement: [Hirsholmene, hasPart, Kloben]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kloben
Context triple: [Hirsholmene, hasPart, Kloben]
  • A. Kleeburg
    Kleeburg is a historical territory in the Holy Roman Empire that gave its name to the cadet branch of the Wittelsbach dynasty known as the Counts Palatine of Zweibrücken-Kleeburg.
  • B. Kleeberg
    Kleeberg is a Polish surname most notably associated with General Franciszek Kleeberg, a commander in the early stages of World War II.
  • C. Krempna
    Krempna is a small village in southeastern Poland that serves as a gateway and service center for visitors to Magura National Park in the Low Beskid Mountains.
  • D. Kropinski
    Kropinski is a surname most notably associated with South African-born actress Kasha Kropinski.
  • E. Krieblowitz
    Krieblowitz was a village in Silesia (now Krobielowice, Poland) historically notable as the estate and place of death of Prussian field marshal Gebhard Leberecht von Blücher.
  • 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: Kloben
Triple: [Hirsholmene, hasPart, Kloben]
Generated description
Kloben is one of the small islands in the Hirsholmene archipelago off the coast of northern Denmark.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kloben
Target entity description: Kloben is one of the small islands in the Hirsholmene archipelago off the coast of northern Denmark.
  • A. Kleeburg
    Kleeburg is a historical territory in the Holy Roman Empire that gave its name to the cadet branch of the Wittelsbach dynasty known as the Counts Palatine of Zweibrücken-Kleeburg.
  • B. Kleeberg
    Kleeberg is a Polish surname most notably associated with General Franciszek Kleeberg, a commander in the early stages of World War II.
  • C. Krempna
    Krempna is a small village in southeastern Poland that serves as a gateway and service center for visitors to Magura National Park in the Low Beskid Mountains.
  • D. Kropinski
    Kropinski is a surname most notably associated with South African-born actress Kasha Kropinski.
  • E. Krieblowitz
    Krieblowitz was a village in Silesia (now Krobielowice, Poland) historically notable as the estate and place of death of Prussian field marshal Gebhard Leberecht von Blücher.
  • 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.