Triple

T20476542
Position Surface form Disambiguated ID Type / Status
Subject Midt-Telemark municipality E502329 entity
Predicate containsSettlement P847 FINISHED
Object Gvarv 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: Gvarv | Statement: [Midt-Telemark municipality, containsSettlement, Gvarv]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gvarv
Context triple: [Midt-Telemark municipality, containsSettlement, Gvarv]
  • A. Gvarv chosen
    Gvarv is a small village in Telemark, Norway, known for its fruit farming and scenic location near the lake Norsjø.
  • B. Svaliava
    Svaliava is a small town in western Ukraine known for its scenic Carpathian surroundings and mineral springs.
  • C. Övdalian
    Övdalian is a North Germanic language variety spoken in the Älvdalen region of Sweden, noted for preserving many archaic features lost in standard Swedish.
  • D. Givlaari
    Givlaari is an RNA interference-based therapy used to treat acute hepatic porphyria by reducing the production of toxic heme intermediates in the liver.
  • E. Overgård
    Overgård is the stranded pilot and lone survivor in the Arctic survival film "Arctic," portrayed by Mads Mikkelsen as he battles extreme conditions to stay alive.
  • 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_69e0b4af32848190aea80682b44d5d6e completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6996584648190a1a6dfcb57782b7f completed April 20, 2026, 9:23 p.m.
Created at: April 16, 2026, 11:34 a.m.