Triple

T5849618
Position Surface form Disambiguated ID Type / Status
Subject Halland E129995 entity
Predicate containsCity P294 FINISHED
Object 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.
 E555674 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: Kungsbacka | Statement: [Halland, containsCity, Kungsbacka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kungsbacka
Context triple: [Halland, containsCity, Kungsbacka]
  • A. Mårbacka
    Mårbacka is the historic family estate and later home of Swedish author and Nobel laureate Selma Lagerlöf, now preserved as a museum in Värmland, Sweden.
  • B. Bollstanäs
    Bollstanäs is a residential locality in Sweden situated within the suburban area of Upplands Väsby, north of Stockholm.
  • C. Hjulsta
    Hjulsta is a suburb in northwestern Stockholm, Sweden, known for being the terminus of one of the Stockholm metro lines.
  • D. Kårsta
    Kårsta is a locality in Vallentuna Municipality, Sweden, known as the northern terminus of Stockholm’s Roslagsbanan narrow-gauge railway line.
  • E. Mörbylånga
    Mörbylånga is a small coastal town on the Swedish island of Öland, known as a local center near the vast limestone plain of Stora Alvaret.
  • 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: Kungsbacka
Triple: [Halland, containsCity, Kungsbacka]
Generated description
Kungsbacka is a town in southwestern Sweden known for its coastal location, historic wooden center, and role as a commuter hub for nearby Gothenburg.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kungsbacka
Target entity description: Kungsbacka is a town in southwestern Sweden known for its coastal location, historic wooden center, and role as a commuter hub for nearby Gothenburg.
  • A. Mårbacka
    Mårbacka is the historic family estate and later home of Swedish author and Nobel laureate Selma Lagerlöf, now preserved as a museum in Värmland, Sweden.
  • B. Bollstanäs
    Bollstanäs is a residential locality in Sweden situated within the suburban area of Upplands Väsby, north of Stockholm.
  • C. Hjulsta
    Hjulsta is a suburb in northwestern Stockholm, Sweden, known for being the terminus of one of the Stockholm metro lines.
  • D. Kårsta
    Kårsta is a locality in Vallentuna Municipality, Sweden, known as the northern terminus of Stockholm’s Roslagsbanan narrow-gauge railway line.
  • E. Mörbylånga
    Mörbylånga is a small coastal town on the Swedish island of Öland, known as a local center near the vast limestone plain of Stora Alvaret.
  • 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_69c0084de39081909eb34e6bed74215a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03515dc0c81908797a9713f1a603f completed March 22, 2026, 6:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0bfd6cffc8190b65252f02055e89c completed March 23, 2026, 4:21 a.m.
NEDg Description generation batch_69c0c0ca548c81908382dbba5f440847 completed March 23, 2026, 4:25 a.m.
NED2 Entity disambiguation (via description) batch_69c0c19e5ef08190abe26030e24b4d91 completed March 23, 2026, 4:29 a.m.
Created at: March 22, 2026, 3:55 p.m.