Triple

T19873199
Position Surface form Disambiguated ID Type / Status
Subject Järvafältet E477572 entity
Predicate near P350 FINISHED
Object Kista NE NERFINISHED

How this triple was built (2 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: [Järvafältet, near, Kista]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kista
Context triple: [Järvafältet, near, Kista]
  • A. Kista chosen
    Kista is a district in northern Stockholm, Sweden, known as a major hub for information and communications technology companies and research.
  • B. Kleive
    Kleive is a village in Møre og Romsdal county, Norway, situated within the coastal region administered by Molde Municipality.
  • C. Kungara
    Kungara is an alternative name for the Fur language, a Nilo-Saharan language spoken primarily by the Fur people of western Sudan.
  • D. Kistelek
    Kistelek is a small town in southern Hungary known for its agricultural surroundings and location within the Southern Great Plain region.
  • E. Korku
    Korku is an indigenous tribal language of central India, primarily spoken by the Korku people in parts of Maharashtra and neighboring states.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e51e7d948190aedbcd6c30361c39 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e658d92f9c8190b363587ed1881c2c completed April 20, 2026, 4:48 p.m.
Created at: April 10, 2026, 1:51 p.m.