Triple

T23475096
Position Surface form Disambiguated ID Type / Status
Subject Nybro Municipality E570239 entity
Predicate administrativeCenter P1474 FINISHED
Object Nybro 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: Nybro | Statement: [Nybro Municipality, administrativeCenter, Nybro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nybro
Context triple: [Nybro Municipality, administrativeCenter, Nybro]
  • A. Nybro chosen
    Nybro is a small town in southeastern Sweden, known for its glass industry and location in Kalmar County.
  • B. Nybroviken
    Nybroviken is a small bay in central Stockholm, Sweden, known for its waterfront promenades, boat traffic, and proximity to major city squares and cultural landmarks.
  • C. Storås
    Storås is a small village in Trøndelag county, Norway, known for its rural setting and local community within the former municipality of Meldal.
  • D. Kungälv
    Kungälv is a town in western Sweden known for the historic Bohus Fortress and its location near the Göta älv north of Gothenburg.
  • E. Hisingsbron
    Hisingsbron is a major vertical-lift bridge in Gothenburg, Sweden, connecting the mainland to the island of Hisingen across the Göta älv.
  • 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_69e245af8a88819084f2704f6d265a92 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a704e2a48190acb55f77a2124412 completed April 29, 2026, 6:36 a.m.
Created at: April 17, 2026, 6 p.m.