Triple

T14097445
Position Surface form Disambiguated ID Type / Status
Subject Lake Hjälmaren E339287 entity
Predicate hasIsland P970 FINISHED
Object Vinön
Vinön is the largest island in Lake Hjälmaren in central Sweden, known for its rural landscape, small community, and access by ferry.
 E1079906 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: Vinön | Statement: [Lake Hjälmaren, hasIsland, Vinön]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vinön
Context triple: [Lake Hjälmaren, hasIsland, Vinön]
  • A. Vernio
    Vernio is a municipality in the Province of Prato in Tuscany, central Italy, known for its historic hilltop villages and Apennine landscape.
  • B. Vinzgouw
    Vinzgouw was a medieval Frankish region associated with the early life and family origins of Hildegard, the wife of Charlemagne.
  • C. 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.
  • D. Vitte
    Vitte is the largest village and main tourist and administrative center on the Baltic Sea island of Hiddensee in Germany.
  • E. Vorst
    Vorst is the Dutch name for Forest, a bilingual municipality in the Brussels-Capital Region of Belgium.
  • 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: Vinön
Triple: [Lake Hjälmaren, hasIsland, Vinön]
Generated description
Vinön is the largest island in Lake Hjälmaren in central Sweden, known for its rural landscape, small community, and access by ferry.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vinön
Target entity description: Vinön is the largest island in Lake Hjälmaren in central Sweden, known for its rural landscape, small community, and access by ferry.
  • A. Vernio
    Vernio is a municipality in the Province of Prato in Tuscany, central Italy, known for its historic hilltop villages and Apennine landscape.
  • B. Vinzgouw
    Vinzgouw was a medieval Frankish region associated with the early life and family origins of Hildegard, the wife of Charlemagne.
  • C. 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.
  • D. Vitte
    Vitte is the largest village and main tourist and administrative center on the Baltic Sea island of Hiddensee in Germany.
  • E. Vorst
    Vorst is the Dutch name for Forest, a bilingual municipality in the Brussels-Capital Region of Belgium.
  • 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_69d81c69b5c8819094aa1abf18302908 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5fb926288190a7f0f50d1d585d76 completed April 14, 2026, 3:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd0adfc28819097a1bfd56739c286 completed May 7, 2026, 5:49 p.m.
NEDg Description generation batch_69fcd41c84408190ab4bc885e7ba8f81 completed May 7, 2026, 6:04 p.m.
NED2 Entity disambiguation (via description) batch_69fcd4ab4b588190977b3dc2adc1f412 completed May 7, 2026, 6:06 p.m.
Created at: April 9, 2026, 10:22 p.m.