Triple

T20823735
Position Surface form Disambiguated ID Type / Status
Subject Bornholm Municipality E512640 entity
Predicate containsSettlement P847 FINISHED
Object Nyker
Nyker is a small village on the Danish island of Bornholm, known for its historic round church and rural surroundings.
E1452325 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: Nyker | Statement: [Bornholm Municipality, containsSettlement, Nyker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nyker
Context triple: [Bornholm Municipality, containsSettlement, Nyker]
  • A. Nyder
    Nyder is a prominent and ruthless Kaled officer who serves as Davros’s loyal lieutenant in the Doctor Who serial "Genesis of the Daleks."
  • B. Naksan
    Naksan is a small but prominent mountain in central Seoul, South Korea, known for its city views, walking trails, and sections of the restored Seoul City Wall.
  • C. Nótt
    Nótt is the personification of night in Norse mythology, depicted as a giantess who rides across the sky bringing darkness to the world.
  • D. Nohr
    Nohr is a dark, militaristic kingdom in the game Fire Emblem Fates, known for its harsh environment, power struggles, and central role in the story’s political conflict.
  • E. Sonnega
    Sonnega is a small village in the municipality of Weststellingwerf in the province of Friesland in the northern Netherlands.
  • 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: Nyker
Triple: [Bornholm Municipality, containsSettlement, Nyker]
Generated description
Nyker is a small village on the Danish island of Bornholm, known for its historic round church and rural surroundings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nyker
Target entity description: Nyker is a small village on the Danish island of Bornholm, known for its historic round church and rural surroundings.
  • A. Nyder
    Nyder is a prominent and ruthless Kaled officer who serves as Davros’s loyal lieutenant in the Doctor Who serial "Genesis of the Daleks."
  • B. Naksan
    Naksan is a small but prominent mountain in central Seoul, South Korea, known for its city views, walking trails, and sections of the restored Seoul City Wall.
  • C. Nótt
    Nótt is the personification of night in Norse mythology, depicted as a giantess who rides across the sky bringing darkness to the world.
  • D. Nohr
    Nohr is a dark, militaristic kingdom in the game Fire Emblem Fates, known for its harsh environment, power struggles, and central role in the story’s political conflict.
  • E. Sonnega
    Sonnega is a small village in the municipality of Weststellingwerf in the province of Friesland in the northern Netherlands.
  • 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_69e0b4ce39108190a6e8e5df4f1c8dc5 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2fc0cd081909e264cda686579ea completed April 21, 2026, 12:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a090079c5688190a9ba9f6e8f69c64e completed May 16, 2026, 11:40 p.m.
NEDg Description generation batch_6a090146ab948190a6c76f5c978b5268 completed May 16, 2026, 11:44 p.m.
NED2 Entity disambiguation (via description) batch_6a0902070ca081908e75dddcda808eea completed May 16, 2026, 11:47 p.m.
Created at: April 16, 2026, 12:41 p.m.