Triple

T20324659
Position Surface form Disambiguated ID Type / Status
Subject Täby centrum E492300 entity
Predicate partOf P40 FINISHED
Object Täby urban area 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: Täby urban area | Statement: [Täby centrum, partOf, Täby urban area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Täby urban area
Context triple: [Täby centrum, partOf, Täby urban area]
  • A. Kvarntorp urban area
    Kvarntorp urban area is a small settlement in central Sweden known historically for its industrial and mining activities, particularly related to oil shale.
  • B. Täby Municipality
    Täby Municipality is a suburban local government area north of central Stockholm, Sweden, known for its affluent residential neighborhoods and strong commuter links to the capital.
  • C. Täby, Sweden chosen
    Täby is a suburban municipality and town north of Stockholm, Sweden, known for its affluent residential areas, historical runestones, and modern shopping and business centers.
  • D. Kouvola urban area
    Kouvola urban area is the main population and economic center of the city of Kouvola in southeastern Finland.
  • E. Uddevalla
    Uddevalla is a coastal town in western Sweden known for its scenic Bohuslän archipelago setting and role as one of the host cities of the 1958 FIFA World Cup.
  • 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_69e0b4a0134081909113563e1c3ba68a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6778e59508190bfd7a3ce44d56a93 completed April 20, 2026, 6:59 p.m.
Created at: April 16, 2026, 11:21 a.m.