Triple

T6092215
Position Surface form Disambiguated ID Type / Status
Subject Håbo-Tibble E135792 entity
Predicate municipalitySeat P15510 FINISHED
Object Kungsängen
Kungsängen is a locality in Upplands-Bro Municipality in Stockholm County, Sweden, known as a suburban community northwest of central Stockholm.
 E149968 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: Kungsängen | Statement: [Håbo-Tibble, municipalitySeat, Kungsängen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kungsängen
Context triple: [Håbo-Tibble, municipalitySeat, Kungsängen]
  • A. Kungsängen
    Kungsängen is a locality in Stockholm County, Sweden, serving as the administrative and population center of Upplands-Bro Municipality.
  • B. Kungsbacka
    Kungsbacka is a town in southwestern Sweden known for its coastal location, historic wooden center, and role as a commuter hub for nearby Gothenburg.
  • C. Skarpäng
    Skarpäng is a residential urban area within Täby Municipality in Stockholm County, Sweden.
  • D. Korsnäs
    Korsnäs is a small coastal municipality in western Finland known for its Swedish-speaking majority and traditional Ostrobothnian rural culture.
  • E. Kårsta
    Kårsta is a locality in Vallentuna Municipality, Sweden, known as the northern terminus of Stockholm’s Roslagsbanan narrow-gauge railway line.
  • 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: Kungsängen
Triple: [Håbo-Tibble, municipalitySeat, Kungsängen]
Generated description
Kungsängen is a locality in Upplands-Bro Municipality in Stockholm County, Sweden, known as a suburban community northwest of central Stockholm.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kungsängen
Target entity description: Kungsängen is a locality in Upplands-Bro Municipality in Stockholm County, Sweden, known as a suburban community northwest of central Stockholm.
  • A. Kungsängen chosen
    Kungsängen is a locality in Stockholm County, Sweden, serving as the administrative and population center of Upplands-Bro Municipality.
  • B. Kungsbacka
    Kungsbacka is a town in southwestern Sweden known for its coastal location, historic wooden center, and role as a commuter hub for nearby Gothenburg.
  • C. Skarpäng
    Skarpäng is a residential urban area within Täby Municipality in Stockholm County, Sweden.
  • D. Korsnäs
    Korsnäs is a small coastal municipality in western Finland known for its Swedish-speaking majority and traditional Ostrobothnian rural culture.
  • E. Kårsta
    Kårsta is a locality in Vallentuna Municipality, Sweden, known as the northern terminus of Stockholm’s Roslagsbanan narrow-gauge railway line.
  • F. None of above.

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_69c0087cd3c48190b459848c72d84eb1 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c057ab7324819086d4708e6f9391c0 completed March 22, 2026, 8:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c135879c988190bd35fa01674d6a15 completed March 23, 2026, 12:43 p.m.
NEDg Description generation batch_69c139e500c8819092834f51f3ea3ebc completed March 23, 2026, 1:02 p.m.
NED2 Entity disambiguation (via description) batch_69c13a4fa888819088a4174486427777 completed March 23, 2026, 1:04 p.m.
Created at: March 22, 2026, 4:12 p.m.