Triple

T19822673
Position Surface form Disambiguated ID Type / Status
Subject Huvudsta Strand E476235 entity
Predicate locatedIn P40 FINISHED
Object Huvudsta 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: Huvudsta | Statement: [Huvudsta Strand, locatedIn, Huvudsta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Huvudsta
Context triple: [Huvudsta Strand, locatedIn, Huvudsta]
  • A. Huvudsta chosen
    Huvudsta is a district in the Stockholm urban area of Sweden, known for its residential neighborhoods, parks, and proximity to central Stockholm.
  • B. Hagastaden
    Hagastaden is a major urban development district in northern Stockholm, Sweden, being transformed into a dense mixed-use area with housing, offices, and life science facilities.
  • C. Hovedstaden
    Hovedstaden is the Capital Region of Denmark, encompassing Copenhagen and surrounding areas as one of the country’s main administrative regions.
  • D. Kingissepa
    Kingissepa is the former Soviet-era name of the Estonian town now known as Kuressaare, located on Saaremaa Island.
  • E. Hjulsta
    Hjulsta is a suburb in northwestern Stockholm, Sweden, known for being the terminus of one of the Stockholm metro lines.
  • 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_69d8e51c7c188190b926f3a2a7b5f881 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e654ffb37c8190be540a793befe16c completed April 20, 2026, 4:31 p.m.
Created at: April 10, 2026, 1:50 p.m.