Triple

T2919698
Position Surface form Disambiguated ID Type / Status
Subject Kungsholmen E78688 entity
Predicate hasMetroStation P522 FINISHED
Object Thorildsplan
Thorildsplan is a Stockholm metro station located on the island district of Kungsholmen in central Stockholm, Sweden.
 E310304 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: Thorildsplan | Statement: [Kungsholmen, hasMetroStation, Thorildsplan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Thorildsplan
Context triple: [Kungsholmen, hasMetroStation, Thorildsplan]
  • A. Djursholm
    Djursholm is an affluent suburban district of Stockholm, Sweden, known for its villas, garden-city planning, and status as one of the country’s wealthiest residential areas.
  • B. Blackeberg
    Blackeberg is a suburban district in western Stockholm, Sweden, best known internationally as the bleak, wintry backdrop of the Swedish vampire novel and film "Let the Right One In."
  • C. Enebyberg
    Enebyberg is a residential suburban area in the northern part of the Stockholm urban region in Sweden.
  • D. Strömsborg
    Strömsborg is a small islet in central Stockholm, Sweden, known for its historic buildings and picturesque waterfront setting near the Old Town.
  • E. Lindholmen
    Lindholmen is a waterfront district in Gothenburg, Sweden, known as a major hub for education, research, and technology companies.
  • 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: Thorildsplan
Triple: [Kungsholmen, hasMetroStation, Thorildsplan]
Generated description
Thorildsplan is a Stockholm metro station located on the island district of Kungsholmen in central Stockholm, Sweden.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Thorildsplan
Target entity description: Thorildsplan is a Stockholm metro station located on the island district of Kungsholmen in central Stockholm, Sweden.
  • A. Djursholm
    Djursholm is an affluent suburban district of Stockholm, Sweden, known for its villas, garden-city planning, and status as one of the country’s wealthiest residential areas.
  • B. Blackeberg
    Blackeberg is a suburban district in western Stockholm, Sweden, best known internationally as the bleak, wintry backdrop of the Swedish vampire novel and film "Let the Right One In."
  • C. Enebyberg
    Enebyberg is a residential suburban area in the northern part of the Stockholm urban region in Sweden.
  • D. Strömsborg
    Strömsborg is a small islet in central Stockholm, Sweden, known for its historic buildings and picturesque waterfront setting near the Old Town.
  • E. Lindholmen
    Lindholmen is a waterfront district in Gothenburg, Sweden, known as a major hub for education, research, and technology companies.
  • 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_69ad8b0c2ad081909ff87050ae542bb9 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad96a53f8c8190b188d549f1161e84 completed March 8, 2026, 3:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69b0562fc5f081909c9130f71f379a24 completed March 10, 2026, 5:34 p.m.
NEDg Description generation batch_69b06117ba088190886fa464f54525cd completed March 10, 2026, 6:21 p.m.
NED2 Entity disambiguation (via description) batch_69b0628d5f608190b7a13ac2e8b8d721 completed March 10, 2026, 6:27 p.m.
Created at: March 8, 2026, 2:54 p.m.