Triple

T22925774
Position Surface form Disambiguated ID Type / Status
Subject Lyngby-Taarbæk Municipality E569301 entity
Predicate hasLake P1025 FINISHED
Object Furesø
Furesø is a large, scenic lake in northeastern Zealand, Denmark, known for its recreational activities and natural surroundings near Copenhagen.
E1564343 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: Furesø | Statement: [Lyngby-Taarbæk Municipality, hasLake, Furesø]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Furesø
Context triple: [Lyngby-Taarbæk Municipality, hasLake, Furesø]
  • A. Farsø
    Farsø is a small Danish town in North Jutland, best known as the birthplace of Nobel Prize–winning author Johannes V. Jensen.
  • B. Loesoe
    Loesoe is a music producer best known for contributing to Lil Uzi Vert’s album "Eternal Atake."
  • C. Tunø
    Tunø is a small Danish island in the Kattegat known for its car-free village, scenic landscapes, and popularity as a holiday and sailing destination.
  • D. Solrød
    Solrød is a coastal town in eastern Denmark, located on the shores of Køge Bay south of Copenhagen.
  • E. Frederiksø
    Frederiksø is a small Danish island in the Baltic Sea that, together with Christiansø, forms part of the Ertholmene archipelago known for its historic fortifications and remote setting.
  • 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: Furesø
Triple: [Lyngby-Taarbæk Municipality, hasLake, Furesø]
Generated description
Furesø is a large, scenic lake in northeastern Zealand, Denmark, known for its recreational activities and natural surroundings near Copenhagen.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Furesø
Target entity description: Furesø is a large, scenic lake in northeastern Zealand, Denmark, known for its recreational activities and natural surroundings near Copenhagen.
  • A. Farsø
    Farsø is a small Danish town in North Jutland, best known as the birthplace of Nobel Prize–winning author Johannes V. Jensen.
  • B. Loesoe
    Loesoe is a music producer best known for contributing to Lil Uzi Vert’s album "Eternal Atake."
  • C. Tunø
    Tunø is a small Danish island in the Kattegat known for its car-free village, scenic landscapes, and popularity as a holiday and sailing destination.
  • D. Solrød
    Solrød is a coastal town in eastern Denmark, located on the shores of Køge Bay south of Copenhagen.
  • E. Frederiksø
    Frederiksø is a small Danish island in the Baltic Sea that, together with Christiansø, forms part of the Ertholmene archipelago known for its historic fortifications and remote setting.
  • 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_69e2458f7d008190901dccbaebeaba24 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f180d90a9481908ea10019980b3951 completed April 29, 2026, 3:54 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0bd3651c408190a2dc8e55d002a496 completed May 19, 2026, 3:05 a.m.
NEDg Description generation batch_6a0bd48cac988190b98142d009a64f54 completed May 19, 2026, 3:10 a.m.
NED2 Entity disambiguation (via description) batch_6a0bd4e53024819084592e995cc902e7 completed May 19, 2026, 3:11 a.m.
Created at: April 17, 2026, 3:43 p.m.