Triple

T6197127
Position Surface form Disambiguated ID Type / Status
Subject Vallentuna E138535 entity
Predicate hasNeighbouringLocality P68061 FINISHED
Object Åkersberga E149045 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: Åkersberga | Statement: [Vallentuna, hasNeighbouringLocality, Åkersberga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Åkersberga
Context triple: [Vallentuna, hasNeighbouringLocality, Åkersberga]
  • A. Åkersberga chosen
    Åkersberga is a suburban town in eastern Sweden that serves as the main population and service center of Österåker Municipality, northeast of Stockholm.
  • B. Kyrkslätt
    Kyrkslätt is the Swedish name for Kirkkonummi, a coastal municipality in southern Finland located just west of Helsinki.
  • C. Åre
    Åre is a well-known ski resort village in northern Sweden, recognized for its alpine skiing and winter sports tourism.
  • D. Botkyrka
    Botkyrka is a municipality in Stockholm County, Sweden, historically associated with the veneration of Saint Botvid and known for its cultural diversity and suburban communities.
  • E. Hjulsta
    Hjulsta is a suburb in northwestern Stockholm, Sweden, known for being the terminus of one of the Stockholm metro lines.
  • 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_69c008ab9b3081908a11b2c744838435 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062508f5c8190a00291708a9a7de9 completed March 22, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16f2a40a88190847f607a6e2c5f4e completed March 23, 2026, 4:49 p.m.
Created at: March 22, 2026, 4:20 p.m.