Triple

T6210018
Position Surface form Disambiguated ID Type / Status
Subject Snogebæk E138842 entity
Predicate near P350 FINISHED
Object Nexø E126783 NE FINISHED

How this triple was built (2 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: [Snogebæk, near, Nexø]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nexø
Context triple: [Snogebæk, near, Nexø]
  • A. Nexø chosen
    Nexø is a coastal town on the eastern side of the Danish island of Bornholm, known historically for its fishing industry and picturesque harbor.
  • B. Morten
    Morten is a masculine given name commonly used in Scandinavian countries, derived from the Latin name Martinus.
  • C. 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.
  • D. Tyge
    Tyge is the original Danish given name of the renowned 16th-century astronomer Tycho Brahe.
  • E. Johan
    Johan is the given first name of the Swedish playwright and novelist August Strindberg.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c008ada364819096c9e92c74d639b5 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0628850bc819080a26c5e05a1d29f completed March 22, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16f57821c8190bd7a5f6bf286ab09 completed March 23, 2026, 4:50 p.m.
Created at: March 22, 2026, 4:21 p.m.