Triple

T5065511
Position Surface form Disambiguated ID Type / Status
Subject Skien E114133 entity
Predicate locatedNear P294 FINISHED
Object Siljan
Siljan is a lake in Telemark, Norway, known for its scenic surroundings and proximity to the town of Skien.
E489952 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: Siljan | Statement: [Skien, locatedNear, Siljan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Siljan
Context triple: [Skien, locatedNear, Siljan]
  • A. Siljan Ring
    Siljan Ring is a large ancient meteorite impact crater and lake system in central Sweden, known for its distinctive circular landscape and geological significance.
  • B. Flemingsberg
    Flemingsberg is a district in the southern Stockholm urban area known for its major university campus, hospital, and commuter rail hub.
  • C. Skarpäng
    Skarpäng is a residential urban area within Täby Municipality in Stockholm County, Sweden.
  • D. Trollbäcken
    Trollbäcken is a residential suburban district in the Stockholm County area of Sweden, known for its proximity to lakes and green spaces.
  • E. Lilla Värtan
    Lilla Värtan is a narrow strait in the inner Stockholm archipelago that separates the island of Lidingö from mainland Stockholm.
  • 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: Siljan
Triple: [Skien, locatedNear, Siljan]
Generated description
Siljan is a lake in Telemark, Norway, known for its scenic surroundings and proximity to the town of Skien.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Siljan
Target entity description: Siljan is a lake in Telemark, Norway, known for its scenic surroundings and proximity to the town of Skien.
  • A. Siljan Ring
    Siljan Ring is a large ancient meteorite impact crater and lake system in central Sweden, known for its distinctive circular landscape and geological significance.
  • B. Flemingsberg
    Flemingsberg is a district in the southern Stockholm urban area known for its major university campus, hospital, and commuter rail hub.
  • C. Skarpäng
    Skarpäng is a residential urban area within Täby Municipality in Stockholm County, Sweden.
  • D. Trollbäcken
    Trollbäcken is a residential suburban district in the Stockholm County area of Sweden, known for its proximity to lakes and green spaces.
  • E. Lilla Värtan
    Lilla Värtan is a narrow strait in the inner Stockholm archipelago that separates the island of Lidingö from mainland Stockholm.
  • 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_69bd443c0c8c81908663b77afb28e165 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7478f7988190bc0473e8af055147 completed March 20, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69bea49d917081909ead17eed3f8af90 completed March 21, 2026, 2:01 p.m.
NEDg Description generation batch_69bea525d9088190b0b655687dd27630 completed March 21, 2026, 2:03 p.m.
NED2 Entity disambiguation (via description) batch_69bea594850881909cd683670b63a079 completed March 21, 2026, 2:05 p.m.
Created at: March 20, 2026, 1:38 p.m.