Triple

T6417644
Position Surface form Disambiguated ID Type / Status
Subject Hiddensee E127869 entity
Predicate hasSettlement P1068 FINISHED
Object Vitte
Vitte is the largest village and main tourist and administrative center on the Baltic Sea island of Hiddensee in Germany.
 E591754 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: Vitte | Statement: [Hiddensee, hasSettlement, Vitte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vitte
Context triple: [Hiddensee, hasSettlement, Vitte]
  • A. Veitvet
    Veitvet is a residential neighborhood in Oslo, Norway, known for its apartment blocks, local shopping center, and multicultural community.
  • B. Svaneke
    Svaneke is a picturesque coastal town on the Danish island of Bornholm, known for its well-preserved half-timbered houses, harbor, and traditional smokehouses.
  • C. Wallesau
    Wallesau is a village-level subdivision of the town of Roth in the Bavarian region of Germany.
  • D. Vitasta
    Vitasta is the ancient Sanskrit name for the Jhelum River, a historically significant river of the Kashmir region frequently mentioned in Vedic and classical Indian texts.
  • E. Vik
    Vik is a municipality in Vestland county, Norway, known for its scenic fjord landscapes, historic stave church, and traditional rural communities.
  • 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: Vitte
Triple: [Hiddensee, hasSettlement, Vitte]
Generated description
Vitte is the largest village and main tourist and administrative center on the Baltic Sea island of Hiddensee in Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vitte
Target entity description: Vitte is the largest village and main tourist and administrative center on the Baltic Sea island of Hiddensee in Germany.
  • A. Veitvet
    Veitvet is a residential neighborhood in Oslo, Norway, known for its apartment blocks, local shopping center, and multicultural community.
  • B. Svaneke
    Svaneke is a picturesque coastal town on the Danish island of Bornholm, known for its well-preserved half-timbered houses, harbor, and traditional smokehouses.
  • C. Wallesau
    Wallesau is a village-level subdivision of the town of Roth in the Bavarian region of Germany.
  • D. Vitasta
    Vitasta is the ancient Sanskrit name for the Jhelum River, a historically significant river of the Kashmir region frequently mentioned in Vedic and classical Indian texts.
  • E. Vik
    Vik is a municipality in Vestland county, Norway, known for its scenic fjord landscapes, historic stave church, and traditional rural communities.
  • 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_69c0083815208190a9b299b8e0640218 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c068ea06b08190901e0c0a18fd5170 completed March 22, 2026, 10:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69c640ce3f9481908fa96fb5b2bc8db9 completed March 27, 2026, 8:33 a.m.
NEDg Description generation batch_69c6415095488190ae506fb8ec95d4c6 completed March 27, 2026, 8:35 a.m.
NED2 Entity disambiguation (via description) batch_69c641b5ac988190bde502b6637736fe completed March 27, 2026, 8:37 a.m.
Created at: March 22, 2026, 4:42 p.m.