Triple

T9321836
Position Surface form Disambiguated ID Type / Status
Subject Sindelfingen E224283 entity
Predicate hasTwinTown P919 FINISHED
Object Sundbyberg E20330 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: Sundbyberg | Statement: [Sindelfingen, hasTwinTown, Sundbyberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sundbyberg
Context triple: [Sindelfingen, hasTwinTown, Sundbyberg]
  • A. Sundbyberg Municipality chosen
    Sundbyberg Municipality is a small, densely populated suburban municipality in the Stockholm metropolitan area of Sweden, known for its urban character and proximity to central Stockholm.
  • B. Söderort
    Söderort is the southern suburban part of Stockholm, Sweden, consisting mainly of residential districts located south of the inner-city island of Södermalm.
  • C. Sandviken
    Sandviken is an industrial town in central Sweden, best known as the historic home of the steel company Sandvik.
  • D. Stockholm Östra
    Stockholm Östra is a railway terminus in central Stockholm that serves as the main city station for the narrow-gauge Roslagsbanan commuter rail line.
  • E. Kungsholmen
    Kungsholmen is a central island and district of Stockholm known for its waterfront promenades, residential areas, and the iconic Stockholm City Hall.
  • 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_69ca8426d48481909596360f7791c7dd completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd36f2bd288190bb1556a88d9e90f3 completed April 1, 2026, 3:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0c7d70b1c8190a254f58efc370624 completed April 4, 2026, 8:12 a.m.
Created at: March 30, 2026, 7:38 p.m.