Triple

T22333769
Position Surface form Disambiguated ID Type / Status
Subject Varberg Fortress E552089 entity
Predicate nearbyFeature P2064 FINISHED
Object Varberg beach 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 beach | Statement: [Varberg Fortress, nearbyFeature, Varberg beach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Varberg beach
Context triple: [Varberg Fortress, nearbyFeature, Varberg beach]
  • A. Åkrasanden beach
    Åkrasanden beach is a renowned white-sand coastal area in Karmøy, Norway, celebrated for its clear waters, dunes, and scenic walking trails.
  • B. Rognstranda beach
    Rognstranda beach is a popular sandy seaside destination in Bamble, Norway, known for its scenic coastline and recreational swimming opportunities.
  • C. Skagsanden Beach
    Skagsanden Beach is a scenic white-sand beach on the island of Flakstadøya in Norway’s Lofoten archipelago, known for its dramatic mountain backdrop and popularity among photographers and surfers.
  • D. Pori Beach
    Pori Beach is a renowned sandy beach on the Greek island of Koufonisia, celebrated for its clear turquoise waters and relaxed, unspoiled atmosphere.
  • E. Varberg chosen
    Varberg is a coastal town in southwestern Sweden known for its historic fortress, sandy beaches, and popular seaside spa 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_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.