Triple

T17935518
Position Surface form Disambiguated ID Type / Status
Subject Jablonec nad Nisou E448452 entity
Predicate twinTown P1072 FINISHED
Object Tyresö 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: Tyresö | Statement: [Jablonec nad Nisou, twinTown, Tyresö]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tyresö
Context triple: [Jablonec nad Nisou, twinTown, Tyresö]
  • A. Tyresö Municipality chosen
    Tyresö Municipality is a suburban coastal municipality in eastern Sweden known for its proximity to Stockholm and its mix of residential areas, forests, and archipelago landscapes.
  • B. Hjulsta
    Hjulsta is a suburb in northwestern Stockholm, Sweden, known for being the terminus of one of the Stockholm metro lines.
  • C. Hammarö
    Hammarö is a Swedish island and municipality in Värmland County, known for its forests, coastline, and proximity to the city of Karlstad.
  • D. Strömstad
    Strömstad is a coastal town and municipality in western Sweden, near the Norwegian border, known for its archipelago, tourism, and ferry connections.
  • E. Fagersta
    Fagersta is an industrial town in central Sweden known for its steel production and manufacturing heritage.
  • 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_69d8b9f79d14819095540856928f0e25 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4a55536e0819083dcfc4be71d447a completed April 19, 2026, 9:50 a.m.
Created at: April 10, 2026, 10:21 a.m.