Triple

T5133107
Position Surface form Disambiguated ID Type / Status
Subject Duvbo E115748 entity
Predicate partOf P40 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: [Duvbo, partOf, Sundbyberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sundbyberg
Context triple: [Duvbo, partOf, 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. Kungsholmen
    Kungsholmen is a central island and district of Stockholm known for its waterfront promenades, residential areas, and the iconic Stockholm City Hall.
  • D. Bromma
    Bromma is a suburban district in western Stockholm, Sweden, known for its residential areas, green spaces, and the city’s secondary airport.
  • E. Södertälje
    Södertälje is a Swedish city southwest of Stockholm known for its industrial heritage, diverse population, and strategic location linking Lake Mälaren with the Baltic Sea via the Södertälje Canal.
  • 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_69bd444426bc819099ccd23f141e22aa completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd784b477c8190926daddb28a255af completed March 20, 2026, 4:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69beefa31458819094b53cbc7a2f5677 completed March 21, 2026, 7:21 p.m.
Created at: March 20, 2026, 1:42 p.m.