Triple

T5176646
Position Surface form Disambiguated ID Type / Status
Subject Tvärbanan E116814 entity
Predicate hasTerminus P388 FINISHED
Object Kista
Kista is a district in northern Stockholm, Sweden, known as a major hub for information and communications technology companies and research.
 E500446 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: Kista | Statement: [Tvärbanan, hasTerminus, Kista]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kista
Context triple: [Tvärbanan, hasTerminus, Kista]
  • A. Kungara
    Kungara is an alternative name for the Fur language, a Nilo-Saharan language spoken primarily by the Fur people of western Sudan.
  • B. Korku
    Korku is an indigenous tribal language of central India, primarily spoken by the Korku people in parts of Maharashtra and neighboring states.
  • C. Kankia
    Kankia is a town and local government area in northern Nigeria, known for its role as an administrative and commercial center within Katsina State.
  • D. Kaiten
    Kaiten was a Japanese warship that took part in the late-19th-century Boshin War naval engagements, including the Battle of Hakodate.
  • E. Khoni
    Khoni is a small town in western Georgia’s Imereti region, known for its historical churches and surrounding natural landscapes.
  • 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: Kista
Triple: [Tvärbanan, hasTerminus, Kista]
Generated description
Kista is a district in northern Stockholm, Sweden, known as a major hub for information and communications technology companies and research.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kista
Target entity description: Kista is a district in northern Stockholm, Sweden, known as a major hub for information and communications technology companies and research.
  • A. Kungara
    Kungara is an alternative name for the Fur language, a Nilo-Saharan language spoken primarily by the Fur people of western Sudan.
  • B. Korku
    Korku is an indigenous tribal language of central India, primarily spoken by the Korku people in parts of Maharashtra and neighboring states.
  • C. Kankia
    Kankia is a town and local government area in northern Nigeria, known for its role as an administrative and commercial center within Katsina State.
  • D. Kaiten
    Kaiten was a Japanese warship that took part in the late-19th-century Boshin War naval engagements, including the Battle of Hakodate.
  • E. Khoni
    Khoni is a small town in western Georgia’s Imereti region, known for its historical churches and surrounding natural landscapes.
  • 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_69bd446140f08190becb93c61158f27f completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7974a5308190819b100e07189131 completed March 20, 2026, 4:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed94e269481908118fd1af1fc6a44 completed March 21, 2026, 5:45 p.m.
NEDg Description generation batch_69bedd266d00819090d857ca08b411c7 completed March 21, 2026, 6:02 p.m.
NED2 Entity disambiguation (via description) batch_69bedda0b8dc81909942627e735023e3 completed March 21, 2026, 6:04 p.m.
Created at: March 20, 2026, 1:45 p.m.