Triple

T1074715
Position Surface form Disambiguated ID Type / Status
Subject Rügen E23809 entity
Predicate hasTown P847 FINISHED
Object Sellin
Sellin is a seaside resort town on the German island of Rügen, known for its historic pier and Baltic Sea beaches.
E123341 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: Sellin | Statement: [Rügen, hasTown, Sellin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sellin
Context triple: [Rügen, hasTown, Sellin]
  • A. Venda
    Venda is a Bantu language of the Venda people of South Africa and Zimbabwe, recognized as one of South Africa’s official languages.
  • B. Selloi
    The Selloi were the ancient priests associated with the oracle of Zeus at Dodona in Epirus, known from Homeric tradition.
  • C. Sale
    Sale is a town in Greater Manchester, England, known as a residential suburb within the Metropolitan Borough of Trafford.
  • D. Venta
    Venta is a major river in the Baltic region that flows through western Latvia and Lithuania before emptying into the Baltic Sea.
  • E. Selle
    The Selle is a river in northern France that flows through the Hauts-de-France region before joining the Scheldt.
  • 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: Sellin
Triple: [Rügen, hasTown, Sellin]
Generated description
Sellin is a seaside resort town on the German island of Rügen, known for its historic pier and Baltic Sea beaches.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sellin
Target entity description: Sellin is a seaside resort town on the German island of Rügen, known for its historic pier and Baltic Sea beaches.
  • A. Venda
    Venda is a Bantu language of the Venda people of South Africa and Zimbabwe, recognized as one of South Africa’s official languages.
  • B. Selloi
    The Selloi were the ancient priests associated with the oracle of Zeus at Dodona in Epirus, known from Homeric tradition.
  • C. Sale
    Sale is a town in Greater Manchester, England, known as a residential suburb within the Metropolitan Borough of Trafford.
  • D. Venta
    Venta is a major river in the Baltic region that flows through western Latvia and Lithuania before emptying into the Baltic Sea.
  • E. Selle
    The Selle is a river in northern France that flows through the Hauts-de-France region before joining the Scheldt.
  • 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_69a493f1ddf48190a99d54b00e99f8ce completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b92cbfd481909e2f928c1d06ebaa completed March 1, 2026, 10:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac42a9af14819091d4f2578c6b1c02 completed March 7, 2026, 3:22 p.m.
NEDg Description generation batch_69ac434b7ea081909d5608831e29b5a9 completed March 7, 2026, 3:24 p.m.
NED2 Entity disambiguation (via description) batch_69ac43b393748190a5fa81b7ab7fa911 completed March 7, 2026, 3:26 p.m.
Created at: March 1, 2026, 7:42 p.m.