Triple

T22729478
Position Surface form Disambiguated ID Type / Status
Subject Botkyrka E562091 entity
Predicate containsSettlement P847 FINISHED
Object Vårsta 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: Vårsta | Statement: [Botkyrka, containsSettlement, Vårsta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vårsta
Context triple: [Botkyrka, containsSettlement, Vårsta]
  • A. Vårsta chosen
    Vårsta is a small locality in eastern Sweden, situated within Botkyrka Municipality in Stockholm County.
  • B. Märsta
    Märsta is a town in Stockholm County, Sweden, known as a residential and transport hub near Stockholm Arlanda Airport.
  • C. Bällsta
    Bällsta is a small locality in eastern central Sweden situated within Vallentuna Municipality in Stockholm County.
  • D. Utvær
    Utvær is Norway’s westernmost inhabited archipelago, known for its historic lighthouse and rugged coastal landscape in Vestland county.
  • E. Parhae
    Parhae was a multi-ethnic kingdom that flourished in Northeast Asia from the late 7th to early 10th century, occupying parts of Manchuria, the Korean Peninsula, and the Russian Far East.
  • 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_69e24550859c81908727d91efc3a81b4 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1792be7d88190b6d7d79041fcba25 completed April 29, 2026, 3:21 a.m.
Created at: April 17, 2026, 3:21 p.m.