Triple

T33107314
Position Surface form Disambiguated ID Type / Status
Subject Wittdün auf Amrum E847221 entity
Predicate hasLocalNameInDanish P58114 FINISHED
Object Vittdøn
Vittdøn is the Danish name for Wittdün, a coastal town on the North Sea island of Amrum in Germany’s North Frisia region.
 E2035313 NE FINISHED

How this triple was built (3 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: Vittdøn | Statement: [Wittdün auf Amrum, hasLocalNameInDanish, Vittdøn]
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: Vittdøn
Triple: [Wittdün auf Amrum, hasLocalNameInDanish, Vittdøn]
Generated description
Vittdøn is the Danish name for Wittdün, a coastal town on the North Sea island of Amrum in Germany’s North Frisia region.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasLocalNameInDanish
Context triple: [Wittdün auf Amrum, hasLocalNameInDanish, Vittdøn]
  • A. hasNameInDanish chosen
    Indicates that an entity is associated with a specific name expressed in the Danish language.
  • B. hasNameInLocalLanguage
    Indicates that an entity is associated with a name expressed in the local or native language of a given context or region.
  • C. hasLocalNameInNorthFrisian
    Indicates that an entity has a specific local name expressed in the North Frisian language.
  • D. hasDanishNameMeaning
    Indicates that an entity has a Danish name whose semantic meaning or etymology is being specified.
  • E. hasNameInNorwegian
    Indicates that an entity is associated with a specific name expressed in the Norwegian language.
  • F. None of above.

Provenance (6 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_69f3495686508190b76bf20fa5e00bf7 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69fe6739d4dc8190ae7505c089bbac29 completed May 8, 2026, 10:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a34f0330dc081908c7eefbd0858b5d7 completed June 19, 2026, 7:30 a.m.
NEDg Description generation batch_6a34fac5b8608190aa4d75308c8e80d0 completed June 19, 2026, 8:16 a.m.
NED2 Entity disambiguation (via description) batch_6a34fb4c77148190be1f4858389df113 completed June 19, 2026, 8:18 a.m.
PD Predicate disambiguation batch_69fe6541dffc81909c66a61ba69f38fc completed May 8, 2026, 10:35 p.m.
Created at: May 1, 2026, 1:26 a.m.