Triple

T4912467
Position Surface form Disambiguated ID Type / Status
Subject Uppland E110264 entity
Predicate contains P35 FINISHED
Object Sollentuna E178401 NE FINISHED

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: Sollentuna | Statement: [Uppland, contains, Sollentuna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sollentuna
Context triple: [Uppland, contains, Sollentuna]
  • A. Sollentuna chosen
    Sollentuna is a suburban town in Stockholm County, Sweden, known as part of the Stockholm urban area and a residential and commercial hub just north of the capital.
  • B. Náströnd
    Náströnd is a grim shore in Norse mythology where the souls of the most wicked are punished in a hall woven of serpents and dripping venom.
  • C. Särna
    Särna is a small locality in northern Dalarna County, Sweden, known for its forested surroundings and outdoor recreation opportunities.
  • D. Lidingö
    Lidingö is a suburban island town in the Stockholm archipelago known for its affluent residential areas, natural landscapes, and proximity to Sweden’s capital.
  • E. Södertörn
    Södertörn is a large peninsula in eastern Sweden, south of Stockholm, known for its mix of suburban areas, forests, and coastline along the Baltic Sea.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69bd44132b94819088522d92beaadc78 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6e9c32148190a940a3733ecd1898 completed March 20, 2026, 3:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69beba4d76808190843622211d1eac6f completed March 21, 2026, 3:33 p.m.
Created at: March 20, 2026, 1:29 p.m.