Triple

T1123187
Position Surface form Disambiguated ID Type / Status
Subject Norrtälje Municipality E24657 entity
Predicate administrativeCenter P1474 FINISHED
Object Norrtälje E24657 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: Norrtälje | Statement: [Norrtälje Municipality, administrativeCenter, Norrtälje]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norrtälje
Context triple: [Norrtälje Municipality, administrativeCenter, Norrtälje]
  • A. Norrtälje Municipality chosen
    Norrtälje Municipality is a large coastal municipality in east-central Sweden known for its archipelago, rural landscapes, and the town of Norrtälje as its administrative center.
  • B. Västerhaninge
    Västerhaninge is a suburban locality in Stockholm County, Sweden, known as a residential community within the Haninge area.
  • C. Löttorp
    Löttorp is a small village and local service center located on the Baltic Sea island of Öland in southeastern Sweden.
  • D. Järna
    Järna is a locality in eastern Sweden known for its strong anthroposophical community, biodynamic farming, and cultural institutions.
  • E. Tullinge
    Tullinge is a suburban locality in the Stockholm region of Sweden, known for its residential areas, natural surroundings, and commuter connections to central Stockholm.
  • 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_69a4940712c88190aa244f3fc6070a65 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bbc09e708190b099d436d1f737eb completed March 1, 2026, 10:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69aca2e36fc081908de3b67293c7bbf6 completed March 7, 2026, 10:12 p.m.
Created at: March 1, 2026, 7:44 p.m.