Triple

T1073460
Position Surface form Disambiguated ID Type / Status
Subject Bornholm E23381 entity
Predicate hasTown P847 FINISHED
Object Nexø
Nexø is a coastal town on the eastern side of the Danish island of Bornholm, known historically for its fishing industry and picturesque harbor.
 E126783 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: Nexø | Statement: [Bornholm, hasTown, Nexø]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nexø
Context triple: [Bornholm, hasTown, Nexø]
  • A. Jacob Vaark
    Jacob Vaark is a 17th-century Anglo-Dutch farmer and landowner in Toni Morrison’s novel "A Mercy," whose experiences reflect the brutal complexities of early American colonialism and slavery.
  • B. Tyge
    Tyge is the original Danish given name of the renowned 16th-century astronomer Tycho Brahe.
  • C. Johan
    Johan is the given first name of J. Erik Jonsson, an American businessman and philanthropist who co-founded Texas Instruments and served as mayor of Dallas.
  • D. Erik Neander
    Erik Neander is a Major League Baseball executive known for leading the Tampa Bay Rays’ front office and overseeing the club’s baseball operations and roster construction.
  • E. Gunnar
    Gunnar is a masculine given name of Old Norse origin, commonly used in Scandinavian countries and associated with warriors or bold fighters.
  • 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: Nexø
Triple: [Bornholm, hasTown, Nexø]
Generated description
Nexø is a coastal town on the eastern side of the Danish island of Bornholm, known historically for its fishing industry and picturesque harbor.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nexø
Target entity description: Nexø is a coastal town on the eastern side of the Danish island of Bornholm, known historically for its fishing industry and picturesque harbor.
  • A. Jacob Vaark
    Jacob Vaark is a 17th-century Anglo-Dutch farmer and landowner in Toni Morrison’s novel "A Mercy," whose experiences reflect the brutal complexities of early American colonialism and slavery.
  • B. Tyge
    Tyge is the original Danish given name of the renowned 16th-century astronomer Tycho Brahe.
  • C. Johan
    Johan is the given first name of J. Erik Jonsson, an American businessman and philanthropist who co-founded Texas Instruments and served as mayor of Dallas.
  • D. Erik Neander
    Erik Neander is a Major League Baseball executive known for leading the Tampa Bay Rays’ front office and overseeing the club’s baseball operations and roster construction.
  • E. Gunnar
    Gunnar is a masculine given name of Old Norse origin, commonly used in Scandinavian countries and associated with warriors or bold fighters.
  • 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_69a493ee1f908190992b5f0d1b04459b completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b92afad88190b7705923f71fc760 completed March 1, 2026, 10:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac4c1fb7948190b08c95e68d3de00e completed March 7, 2026, 4:02 p.m.
NEDg Description generation batch_69ac4e9e68688190a02550b270660a50 completed March 7, 2026, 4:13 p.m.
NED2 Entity disambiguation (via description) batch_69ac4f2475048190a5e58bf8320e91d4 completed March 7, 2026, 4:15 p.m.
Created at: March 1, 2026, 7:42 p.m.