Triple

T22333768
Position Surface form Disambiguated ID Type / Status
Subject Varberg Fortress E552089 entity
Predicate nearbyFeature P2064 FINISHED
Object Varberg town centre 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 town centre | Statement: [Varberg Fortress, nearbyFeature, Varberg town centre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Varberg town centre
Context triple: [Varberg Fortress, nearbyFeature, Varberg town centre]
  • A. Varberg chosen
    Varberg is a coastal town in southwestern Sweden known for its historic fortress, sandy beaches, and popular seaside spa culture.
  • B. Vågstranda
    Vågstranda is a small village in Rauma Municipality in Møre og Romsdal county, Norway, situated along the Romsdalsfjord.
  • C. Ystad
    Ystad is a historic coastal town in southern Sweden known for its medieval architecture and as the setting of Henning Mankell’s Kurt Wallander crime novels.
  • D. Ballstad
    Ballstad is a fishing village in Norway’s Lofoten archipelago, known for its scenic coastal landscape and traditional maritime culture.
  • 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 (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_69e11e482f788190b78d1588fc26d606 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1577cdcb08190a760e195c1051adb completed April 29, 2026, 12:57 a.m.
Created at: April 16, 2026, 8:43 p.m.