Triple

T5748210
Position Surface form Disambiguated ID Type / Status
Subject Nexø E126783 entity
Predicate hasAlternativeSpelling P457 FINISHED
Object Nexo
Nexo is a town on the eastern coast of the Danish island of Bornholm, known for its fishing harbor and coastal scenery.
E544285 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: Nexo | Statement: [Nexø, hasAlternativeSpelling, Nexo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nexo
Context triple: [Nexø, hasAlternativeSpelling, Nexo]
  • A. Neox
    Neox is a Spanish television channel owned by Atresmedia that primarily targets young audiences with a mix of series, films, and entertainment programs.
  • B. Nexus
    Nexus is the original World Wide Web browser and editor created by Tim Berners-Lee, later renamed from its initial title "WorldWideWeb."
  • C. Nexus
    Nexus is the public transport executive and passenger transport authority responsible for overseeing and managing services such as the Tyne and Wear Metro in North East England.
  • D. Nicado
    Nicado is a Spanish-language surname most notably borne by Cuban mathematician and academic leader Miriam Nicado García.
  • E. El Nozha
    El Nozha is a residential district in northeastern Cairo, Egypt, known for its middle-class neighborhoods and proximity to Cairo International Airport.
  • 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: Nexo
Triple: [Nexø, hasAlternativeSpelling, Nexo]
Generated description
Nexo is a town on the eastern coast of the Danish island of Bornholm, known for its fishing harbor and coastal scenery.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nexo
Target entity description: Nexo is a town on the eastern coast of the Danish island of Bornholm, known for its fishing harbor and coastal scenery.
  • A. Neox
    Neox is a Spanish television channel owned by Atresmedia that primarily targets young audiences with a mix of series, films, and entertainment programs.
  • B. Nexus
    Nexus is the original World Wide Web browser and editor created by Tim Berners-Lee, later renamed from its initial title "WorldWideWeb."
  • C. Nexus
    Nexus is the public transport executive and passenger transport authority responsible for overseeing and managing services such as the Tyne and Wear Metro in North East England.
  • D. Nicado
    Nicado is a Spanish-language surname most notably borne by Cuban mathematician and academic leader Miriam Nicado García.
  • E. El Nozha
    El Nozha is a residential district in northeastern Cairo, Egypt, known for its middle-class neighborhoods and proximity to Cairo International Airport.
  • 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_69c00832aedc81909899801b141fa3b4 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02887496c8190b1b9c8dda0d561ef completed March 22, 2026, 5:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07e30fe98819096ad6e09fbd463b5 completed March 22, 2026, 11:41 p.m.
NEDg Description generation batch_69c08d5a3fbc8190bd0a0862ad6ae66d completed March 23, 2026, 12:46 a.m.
NED2 Entity disambiguation (via description) batch_69c08dc4d12c8190a7a245d583ef08d4 completed March 23, 2026, 12:48 a.m.
Created at: March 22, 2026, 3:48 p.m.