Triple

T1060577
Position Surface form Disambiguated ID Type / Status
Subject Järfälla Municipality E22897 entity
Predicate contains P35 FINISHED
Object Barkarby
Barkarby is a suburban district in the Stockholm urban area of Sweden, known for its residential neighborhoods, retail outlets, and the former Barkarby Airport site.
 E123880 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: Barkarby | Statement: [Järfälla Municipality, contains, Barkarby]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Barkarby
Context triple: [Järfälla Municipality, contains, Barkarby]
  • A. Barbel
    Barbel is a feminine given name, commonly used as a diminutive or variant of names like Barbara in German-speaking regions.
  • B. Kukarka
    Kukarka is a small Russian locality historically known as the birthplace of Soviet politician Vyacheslav Molotov.
  • C. Sivaraksa
    Sivaraksa is the surname of Sulak Sivaraksa, a prominent Thai social activist, intellectual, and proponent of engaged Buddhism.
  • D. Rycken
    Rycken is a Dutch-origin surname historically borne by families such as that of Abraham Rycken in the Low Countries and early colonial America.
  • E. Alupka
    Alupka is a resort town on the southern coast of Crimea, known for the Neo-Gothic and Moorish-style Vorontsov Palace and its scenic location at the foot of Mount Ai-Petri.
  • 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: Barkarby
Triple: [Järfälla Municipality, contains, Barkarby]
Generated description
Barkarby is a suburban district in the Stockholm urban area of Sweden, known for its residential neighborhoods, retail outlets, and the former Barkarby Airport site.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Barkarby
Target entity description: Barkarby is a suburban district in the Stockholm urban area of Sweden, known for its residential neighborhoods, retail outlets, and the former Barkarby Airport site.
  • A. Barbel
    Barbel is a feminine given name, commonly used as a diminutive or variant of names like Barbara in German-speaking regions.
  • B. Kukarka
    Kukarka is a small Russian locality historically known as the birthplace of Soviet politician Vyacheslav Molotov.
  • C. Sivaraksa
    Sivaraksa is the surname of Sulak Sivaraksa, a prominent Thai social activist, intellectual, and proponent of engaged Buddhism.
  • D. Rycken
    Rycken is a Dutch-origin surname historically borne by families such as that of Abraham Rycken in the Low Countries and early colonial America.
  • E. Alupka
    Alupka is a resort town on the southern coast of Crimea, known for the Neo-Gothic and Moorish-style Vorontsov Palace and its scenic location at the foot of Mount Ai-Petri.
  • 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_69a493dada0481909c43649f9843ea91 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b8f3f98c819096338198d9f30491 completed March 1, 2026, 10:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac42a14b548190a796e49c545c9a9e completed March 7, 2026, 3:22 p.m.
NEDg Description generation batch_69ac4311f7f08190ae86aacb7f2103d7 completed March 7, 2026, 3:24 p.m.
NED2 Entity disambiguation (via description) batch_69ac43891ed88190a5b8b51341e98929 completed March 7, 2026, 3:26 p.m.
Created at: March 1, 2026, 7:42 p.m.