Triple

T16460191
Position Surface form Disambiguated ID Type / Status
Subject Bolligen E399785 entity
Predicate hasLocality P7943 FINISHED
Object Bolligen (village) E399785 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: Bolligen (village) | Statement: [Bolligen, hasLocality, Bolligen (village)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bolligen (village)
Context triple: [Bolligen, hasLocality, Bolligen (village)]
  • A. Bolligen chosen
    Bolligen is a Swiss municipality in the canton of Bern, known as a residential community on the outskirts of the city of Bern.
  • B. Bergen (village)
    Bergen (village) is a coastal village in North Holland, Netherlands, known for its artistic community, dunes, and proximity to the North Sea.
  • C. Ballangen village
    Ballangen village is a small settlement in Nordland county, Norway, known for its fjord-side location and history of mining activity.
  • D. Kvam village
    Kvam village is a small rural settlement in Innlandet county, Norway, known for its scenic valley setting and traditional Norwegian countryside character.
  • E. Bykle village
    Bykle village is a small rural settlement in Agder county, Norway, known for serving as the main local hub in the mountainous municipality of Bykle.
  • 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_69d87f2dac988190b74d6e185fa88ba4 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32d80e66c8190b2b3199efe9cfaa1 completed April 18, 2026, 7:06 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004f53aff081909a75de6672f15f0e completed May 10, 2026, 9:26 a.m.
Created at: April 10, 2026, 5:10 a.m.