Triple

T14469442
Position Surface form Disambiguated ID Type / Status
Subject Pasila, Helsinki E358797 entity
Predicate isAlsoKnownAs P39 FINISHED
Object Böle
Böle is the Swedish name for Pasila, a major district and transportation hub in Helsinki, Finland.
 E1101257 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: Böle | Statement: [Pasila, Helsinki, isAlsoKnownAs, Böle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Böle
Context triple: [Pasila, Helsinki, isAlsoKnownAs, Böle]
  • A. Bøler
    Bøler is a residential neighborhood in the Østensjø borough of Oslo, Norway, known for its post-war apartment blocks, green surroundings, and access to the Østmarka forest.
  • B. Boebe
    Boebe was an ancient town in the region of Magnesia in Thessaly, Greece, known from classical sources and associated with nearby Lake Boebeis.
  • C. Boe
    Boe is a city in Guinea-Bissau known as the site where the Boé Declaration on Regional Security was adopted.
  • D. Bude
    Bude is a seaside town and popular holiday resort on the north coast of Cornwall in southwest England, known for its beaches and surfing.
  • E. Bolærne
    Bolærne is a small archipelago in the Oslofjord in southeastern Norway, known for its coastal scenery, recreational areas, and former military installations.
  • 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: Böle
Triple: [Pasila, Helsinki, isAlsoKnownAs, Böle]
Generated description
Böle is the Swedish name for Pasila, a major district and transportation hub in Helsinki, Finland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Böle
Target entity description: Böle is the Swedish name for Pasila, a major district and transportation hub in Helsinki, Finland.
  • A. Bøler
    Bøler is a residential neighborhood in the Østensjø borough of Oslo, Norway, known for its post-war apartment blocks, green surroundings, and access to the Østmarka forest.
  • B. Boebe
    Boebe was an ancient town in the region of Magnesia in Thessaly, Greece, known from classical sources and associated with nearby Lake Boebeis.
  • C. Boe
    Boe is a city in Guinea-Bissau known as the site where the Boé Declaration on Regional Security was adopted.
  • D. Bude
    Bude is a seaside town and popular holiday resort on the north coast of Cornwall in southwest England, known for its beaches and surfing.
  • E. Bolærne
    Bolærne is a small archipelago in the Oslofjord in southeastern Norway, known for its coastal scenery, recreational areas, and former military installations.
  • 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_69d827966698819082e140837737501d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de91f969788190a5114f92d7159aae completed April 14, 2026, 7:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd649beec88190861abb52c5a2733e completed May 8, 2026, 4:20 a.m.
NEDg Description generation batch_69fd67b1ed2081908d3de6514078be49 completed May 8, 2026, 4:33 a.m.
NED2 Entity disambiguation (via description) batch_69fd682f28948190adc037c18c7deb93 completed May 8, 2026, 4:35 a.m.
Created at: April 10, 2026, 1:20 a.m.