Triple

T5956174
Position Surface form Disambiguated ID Type / Status
Subject Hovedstaden E132519 entity
Predicate contains P35 FINISHED
Object Gribskov Municipality E549640 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: Gribskov Municipality | Statement: [Hovedstaden, contains, Gribskov Municipality]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gribskov Municipality
Context triple: [Hovedstaden, contains, Gribskov Municipality]
  • A. Gribskov Municipality chosen
    Gribskov Municipality is a local government area in northeastern Zealand, Denmark, known for its coastal towns, forests, and role as part of the Greater Copenhagen region.
  • B. Knivsta Municipality
    Knivsta Municipality is a small Swedish municipality known for its growing residential communities and proximity to both Stockholm and Uppsala.
  • C. Lekeberg Municipality
    Lekeberg Municipality is a local government area in central Sweden known for its rural landscapes and location within Örebro County.
  • D. Mora Municipality
    Mora Municipality is a local administrative region in Portugal known for its rural landscapes, traditional Alentejo culture, and archaeological and natural heritage.
  • E. Ockelbo Municipality
    Ockelbo Municipality is a rural municipality in Gävleborg County, Sweden, known for its forests, lakes, and outdoor recreation opportunities.
  • 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_69c0086b05cc8190a8f36a96927a525c completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c039c1de80819085c97a0aa2d37f32 completed March 22, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e3dd99888190ac3eeef692a7d879 completed March 23, 2026, 6:55 a.m.
Created at: March 22, 2026, 4:02 p.m.