Triple

T18078786
Position Surface form Disambiguated ID Type / Status
Subject Søndre Land E432628 entity
Predicate hasSettlement P1068 FINISHED
Object Fluberg 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: Fluberg | Statement: [Søndre Land, hasSettlement, Fluberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fluberg
Context triple: [Søndre Land, hasSettlement, Fluberg]
  • A. Fluberg chosen
    Fluberg is a small village in Norway located near the shores of Randsfjorden, known for its rural landscape and lakeside setting.
  • B. Kleeburg
    Kleeburg is a historical territory in the Holy Roman Empire that gave its name to the cadet branch of the Wittelsbach dynasty known as the Counts Palatine of Zweibrücken-Kleeburg.
  • C. Floby
    Floby is a small locality in Västra Götaland County, Sweden, known historically as a rural parish and railway junction.
  • D. Drusberg
    Drusberg is a mountain in the Swiss Alps known for its scenic hiking routes and panoramic views over central Switzerland.
  • E. Fargus
    Fargus is a central playable character in the comedic fantasy action-platformer game Pandemonium!, known for his quirky personality and magical abilities.
  • 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_69d8b9070cac81909fa9473fb1c3f1c7 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4d9f6a85481909894c39c8be98d5d completed April 19, 2026, 1:34 p.m.
Created at: April 10, 2026, 10:27 a.m.