Triple

T19155342
Position Surface form Disambiguated ID Type / Status
Subject Bromma E468914 entity
Predicate contains P35 FINISHED
Object Ålsten
Ålsten is a residential district in western Stockholm, Sweden, known for its garden city-style housing and proximity to Lake Mälaren.
E1361739 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: Ålsten | Statement: [Bromma, contains, Ålsten]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ålsten
Context triple: [Bromma, contains, Ålsten]
  • A. Ål
    Ål is a mountainous rural municipality and village in central Norway, known for its traditional Hallingdal culture, outdoor recreation, and winter sports.
  • B. Älvdalen
    Älvdalen is a small municipality in central Sweden known for its forested landscapes, traditional culture, and preservation of the unique Elfdalian language.
  • C. Österlen
    Österlen is a picturesque rural area in southeastern Skåne, Sweden, known for its rolling farmland, coastal landscapes, and vibrant arts and tourism scene.
  • D. Ålsgårde
    Ålsgårde is a coastal town in North Zealand, Denmark, known for its residential areas and proximity to the Øresund Strait.
  • E. Bålsta
    Bålsta is a locality in Uppsala County, Sweden, known as the main urban center of Håbo Municipality and a commuter town within the Greater Stockholm region.
  • 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: Ålsten
Triple: [Bromma, contains, Ålsten]
Generated description
Ålsten is a residential district in western Stockholm, Sweden, known for its garden city-style housing and proximity to Lake Mälaren.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ålsten
Target entity description: Ålsten is a residential district in western Stockholm, Sweden, known for its garden city-style housing and proximity to Lake Mälaren.
  • A. Ål
    Ål is a mountainous rural municipality and village in central Norway, known for its traditional Hallingdal culture, outdoor recreation, and winter sports.
  • B. Älvdalen
    Älvdalen is a small municipality in central Sweden known for its forested landscapes, traditional culture, and preservation of the unique Elfdalian language.
  • C. Österlen
    Österlen is a picturesque rural area in southeastern Skåne, Sweden, known for its rolling farmland, coastal landscapes, and vibrant arts and tourism scene.
  • D. Ålsgårde
    Ålsgårde is a coastal town in North Zealand, Denmark, known for its residential areas and proximity to the Øresund Strait.
  • E. Bålsta
    Bålsta is a locality in Uppsala County, Sweden, known as the main urban center of Håbo Municipality and a commuter town within the Greater Stockholm region.
  • 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_69d8dd084ff48190ac0f8c46ee722629 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5eeb914248190a92dc5f30cbc8fcc completed April 20, 2026, 9:15 a.m.
NED1 Entity disambiguation (via context triple) batch_6a06f258c5a0819084921b6e44bf1b34 completed May 15, 2026, 10:15 a.m.
NEDg Description generation batch_6a06f41269748190b6fa6301d8eb4f4f completed May 15, 2026, 10:23 a.m.
NED2 Entity disambiguation (via description) batch_6a06f4da6b04819084dab89e9b3c5d3e completed May 15, 2026, 10:26 a.m.
Created at: April 10, 2026, 12:06 p.m.