Triple

T15501150
Position Surface form Disambiguated ID Type / Status
Subject Drottninggatan E378955 entity
Predicate partOf P40 FINISHED
Object Vasastan E312981 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: Vasastan | Statement: [Drottninggatan, partOf, Vasastan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vasastan
Context triple: [Drottninggatan, partOf, Vasastan]
  • A. Vasastan chosen
    Vasastan is a central district in Stockholm, Sweden, known for its early 20th-century architecture, lively cafés, and residential character.
  • B. Vaalimaa
    Vaalimaa is a major road border crossing point between Finland and Russia, located in southeastern Finland near the Gulf of Finland.
  • C. Savonia
    Savonia is a historical and cultural region in eastern Finland known for its lakes, forests, and distinct Savonian dialect and traditions.
  • D. Vasto
    Vasto is a historic coastal town in Italy’s Abruzzo region, known for its medieval center and views over the Adriatic Sea.
  • E. Alavus
    Alavus is a small town and municipality in the South Ostrobothnia region of western Finland, known for its lakes and rural landscapes.
  • 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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03fcb4e8c81908e4ab463e3ae252b completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3669f908819087162b1b8a4e4320 completed May 9, 2026, 1:28 p.m.
Created at: April 10, 2026, 3:54 a.m.