Triple

T15520658
Position Surface form Disambiguated ID Type / Status
Subject VLF station SAQ Grimeton E368957 entity
Predicate locatedNear P294 FINISHED
Object Varberg E553783 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: Varberg | Statement: [VLF station SAQ Grimeton, locatedNear, Varberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Varberg
Context triple: [VLF station SAQ Grimeton, locatedNear, Varberg]
  • A. Varberg chosen
    Varberg is a coastal town in southwestern Sweden known for its historic fortress, sandy beaches, and popular seaside spa culture.
  • B. Náströnd
    Náströnd is a grim shore in Norse mythology where the souls of the most wicked are punished in a hall woven of serpents and dripping venom.
  • C. Solund
    Solund is a small island municipality off the western coast of Norway, known for its rugged archipelago landscape and rich coastal culture.
  • D. Härnösand
    Härnösand is a coastal city in northern Sweden known for its historic architecture, maritime heritage, and role as an administrative and cultural center in the region.
  • E. Bruntinge
    Bruntinge is a small village located in the municipality of Midden-Drenthe in the Dutch province of Drenthe.
  • 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_69d85a1794cc8190b0b428716296e63e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0403543188190abac49d2b9decb89 completed April 16, 2026, 1:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4552a8dc819082cb6c31a2c05606 completed May 9, 2026, 2:31 p.m.
Created at: April 10, 2026, 4:04 a.m.