Triple

T9182673
Position Surface form Disambiguated ID Type / Status
Subject Lolland E220370 entity
Predicate hasSettlement P1068 FINISHED
Object Holeby
Holeby is a small town and former municipal seat on the Danish island of Lolland, known for its rural character and local industry.
 E783024 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: Holeby | Statement: [Lolland, hasSettlement, Holeby]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Holeby
Context triple: [Lolland, hasSettlement, Holeby]
  • A. Hakstol
    Hakstol is a surname most notably associated with Dave Hakstol, a Canadian professional ice hockey coach.
  • B. Rollag
    Rollag is a small rural municipality in southeastern Norway known for its traditional wooden architecture and scenic valley landscapes.
  • C. Hassel
    Hassel is a Norwegian surname most notably borne by Nobel Prize–winning chemist Odd Hassel.
  • D. Haslum
    Haslum is a suburban area in Bærum, Norway, known for its residential neighborhoods and proximity to Oslo.
  • E. Tyvholm
    Tyvholm is one of the small Danish islands that form part of the Hirsholmene archipelago in the Kattegat.
  • 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: Holeby
Triple: [Lolland, hasSettlement, Holeby]
Generated description
Holeby is a small town and former municipal seat on the Danish island of Lolland, known for its rural character and local industry.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Holeby
Target entity description: Holeby is a small town and former municipal seat on the Danish island of Lolland, known for its rural character and local industry.
  • A. Hakstol
    Hakstol is a surname most notably associated with Dave Hakstol, a Canadian professional ice hockey coach.
  • B. Rollag
    Rollag is a small rural municipality in southeastern Norway known for its traditional wooden architecture and scenic valley landscapes.
  • C. Hassel
    Hassel is a Norwegian surname most notably borne by Nobel Prize–winning chemist Odd Hassel.
  • D. Haslum
    Haslum is a suburban area in Bærum, Norway, known for its residential neighborhoods and proximity to Oslo.
  • E. Tyvholm
    Tyvholm is one of the small Danish islands that form part of the Hirsholmene archipelago in the Kattegat.
  • 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_69ca83e589948190ac9907819db11ddf completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccc2553e548190898434aeda517407 completed April 1, 2026, 6:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05c1474a08190aa3e3e90326a20d1 completed April 4, 2026, 12:32 a.m.
NEDg Description generation batch_69d05ca2a3f881909ed9193560b5b0cd completed April 4, 2026, 12:34 a.m.
NED2 Entity disambiguation (via description) batch_69d05d4191f8819083c0ae2a68059c93 completed April 4, 2026, 12:37 a.m.
Created at: March 30, 2026, 7:23 p.m.