Triple

T21024529
Position Surface form Disambiguated ID Type / Status
Subject Nedre Rudan E517903 entity
Predicate hasNameInLanguage P15 FINISHED
Object Nedre Rudan (Swedish)
Nedre Rudan is a lake and recreational area in Haninge Municipality, near Stockholm, Sweden, popular for swimming, fishing, and outdoor activities.
E1464195 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: Nedre Rudan (Swedish) | Statement: [Nedre Rudan, hasNameInLanguage, Nedre Rudan (Swedish)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nedre Rudan (Swedish)
Context triple: [Nedre Rudan, hasNameInLanguage, Nedre Rudan (Swedish)]
  • A. Rostadalen
    Rostadalen is a scenic valley in Troms, Northern Norway, known for its rivers, mountains, and outdoor recreation opportunities such as hiking, skiing, and fishing.
  • B. Svenkerud
    Svenkerud is a Norwegian surname most notably borne by Peer Jacob Svenkerud, a 19th-century politician and farmer.
  • C. Rambergsvallen
    Rambergsvallen was a historic football stadium in Gothenburg, Sweden, best known as the long-time home ground of local clubs including BK Häcken.
  • D. Såtenäs
    Såtenäs is a locality in western Sweden best known as a major Swedish Air Force base and home of the F 7 Wing.
  • E. Fagersjö
    Fagersjö is a residential district in southern Stockholm, Sweden, known for its proximity to lakes and green areas.
  • 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: Nedre Rudan (Swedish)
Triple: [Nedre Rudan, hasNameInLanguage, Nedre Rudan (Swedish)]
Generated description
Nedre Rudan is a lake and recreational area in Haninge Municipality, near Stockholm, Sweden, popular for swimming, fishing, and outdoor activities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nedre Rudan (Swedish)
Target entity description: Nedre Rudan is a lake and recreational area in Haninge Municipality, near Stockholm, Sweden, popular for swimming, fishing, and outdoor activities.
  • A. Rostadalen
    Rostadalen is a scenic valley in Troms, Northern Norway, known for its rivers, mountains, and outdoor recreation opportunities such as hiking, skiing, and fishing.
  • B. Svenkerud
    Svenkerud is a Norwegian surname most notably borne by Peer Jacob Svenkerud, a 19th-century politician and farmer.
  • C. Rambergsvallen
    Rambergsvallen was a historic football stadium in Gothenburg, Sweden, best known as the long-time home ground of local clubs including BK Häcken.
  • D. Såtenäs
    Såtenäs is a locality in western Sweden best known as a major Swedish Air Force base and home of the F 7 Wing.
  • E. Fagersjö
    Fagersjö is a residential district in southern Stockholm, Sweden, known for its proximity to lakes and green areas.
  • 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_69e0b50262b081909bc488937145eb73 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc6059908190bf5c9ef9c30f1a32 completed April 21, 2026, 4:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09474123ac8190b335000f96df7473 completed May 17, 2026, 4:42 a.m.
NEDg Description generation batch_6a09490822ac81909966eb2013ddb837 completed May 17, 2026, 4:50 a.m.
NED2 Entity disambiguation (via description) batch_6a094a078eb08190857d156dcadf35fc completed May 17, 2026, 4:54 a.m.
Created at: April 16, 2026, 1:55 p.m.