Triple

T14126870
Position Surface form Disambiguated ID Type / Status
Subject Halland County E340055 entity
Predicate containsMunicipality P852 FINISHED
Object Falkenberg Municipality E553784 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: Falkenberg Municipality | Statement: [Halland County, containsMunicipality, Falkenberg Municipality]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Falkenberg Municipality
Context triple: [Halland County, containsMunicipality, Falkenberg Municipality]
  • A. Fagersta Municipality
    Fagersta Municipality is a local government area in Västmanland County, central Sweden, known for its industrial heritage and the town of Fagersta.
  • B. Falkenberg
    Falkenberg is a locality in the borough of Lichtenberg in Berlin, Germany, known for its more rural character on the city's northeastern edge.
  • C. Falkenberg chosen
    Falkenberg is a coastal town in southwestern Sweden known for its beaches, fishing heritage, and location along the River Ätran.
  • D. Falkenberg
    Falkenberg is a small municipality in the Rottal-Inn district of Lower Bavaria in southeastern Germany.
  • E. Kungsbacka Municipality
    Kungsbacka Municipality is a local government area in southwestern Sweden known for its coastal location, proximity to Gothenburg, and mix of urban and rural communities.
  • 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_69d81c6a95b481909e39111e0c1f31ee completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de6098013c8190b1bac9d3fff60acd completed April 14, 2026, 3:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf7e2b0248190ba40aa8395355052 completed May 7, 2026, 8:36 p.m.
Created at: April 9, 2026, 10:22 p.m.