Triple

T22402082
Position Surface form Disambiguated ID Type / Status
Subject Falkenberg E553784 entity
Predicate locatedSouthOf P9676 FINISHED
Object Varberg NE NERFINISHED

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: [Falkenberg, locatedSouthOf, Varberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Varberg
Context triple: [Falkenberg, locatedSouthOf, 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. Varberg harbour
    Varberg harbour is a coastal port area in the Swedish town of Varberg on the Kattegat, known for its maritime activities and proximity to the historic Varberg Fortress.
  • C. Vågstranda
    Vågstranda is a small village in Rauma Municipality in Møre og Romsdal county, Norway, situated along the Romsdalsfjord.
  • D. 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.
  • E. Solund
    Solund is a small island municipality off the western coast of Norway, known for its rugged archipelago landscape and rich coastal culture.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e4da7048190b4387d422a9a0de5 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f158b4a96c8190838f5dda21c4d853 completed April 29, 2026, 1:02 a.m.
Created at: April 16, 2026, 8:46 p.m.