Triple

T5409584
Position Surface form Disambiguated ID Type / Status
Subject Handen E120978 entity
Predicate hasNearbyLake P17985 FINISHED
Object Nedre Rudan
Nedre Rudan is a small lake and popular outdoor recreation area in Haninge Municipality, south of Stockholm, Sweden.
E517903 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 | Statement: [Handen, hasNearbyLake, Nedre Rudan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nedre Rudan
Context triple: [Handen, hasNearbyLake, Nedre Rudan]
  • A. Dudinka
    Dudinka is a remote Arctic port town in northern Siberia, Russia, serving as a key shipping hub on the Yenisei River and gateway to the Norilsk industrial region.
  • B. Ilijaš
    Ilijaš is a town and municipality in central Bosnia and Herzegovina, situated northwest of Sarajevo and known for its industrial heritage and surrounding hilly landscape.
  • C. Ravanica
    Ravanica is a river in central Serbia that flows through the region before joining the Velika Morava.
  • D. Orebić
    Orebić is a coastal town on Croatia’s Pelješac Peninsula, known as a popular ferry gateway to the island of Korčula and for its beaches and maritime heritage.
  • E. Morača
    Morača is a major river in Montenegro that flows through the capital city of Podgorica before emptying into Lake Skadar.
  • 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
Triple: [Handen, hasNearbyLake, Nedre Rudan]
Generated description
Nedre Rudan is a small lake and popular outdoor recreation area in Haninge Municipality, south of Stockholm, Sweden.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nedre Rudan
Target entity description: Nedre Rudan is a small lake and popular outdoor recreation area in Haninge Municipality, south of Stockholm, Sweden.
  • A. Dudinka
    Dudinka is a remote Arctic port town in northern Siberia, Russia, serving as a key shipping hub on the Yenisei River and gateway to the Norilsk industrial region.
  • B. Ilijaš
    Ilijaš is a town and municipality in central Bosnia and Herzegovina, situated northwest of Sarajevo and known for its industrial heritage and surrounding hilly landscape.
  • C. Ravanica
    Ravanica is a river in central Serbia that flows through the region before joining the Velika Morava.
  • D. Orebić
    Orebić is a coastal town on Croatia’s Pelješac Peninsula, known as a popular ferry gateway to the island of Korčula and for its beaches and maritime heritage.
  • E. Morača
    Morača is a major river in Montenegro that flows through the capital city of Podgorica before emptying into Lake Skadar.
  • 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_69bd46391c0c81909fa484446732b6a3 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd8796a420819092c1771407cd1a5d completed March 20, 2026, 5:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf339e02dc8190bb2ca6e0a0ef4621 completed March 22, 2026, 12:11 a.m.
NEDg Description generation batch_69bf34b0e22c819091aefd30a5e5a13d completed March 22, 2026, 12:15 a.m.
NED2 Entity disambiguation (via description) batch_69bf35442cf481908053d3645e6e9968 completed March 22, 2026, 12:18 a.m.
Created at: March 20, 2026, 2:05 p.m.