Triple

T17732185
Position Surface form Disambiguated ID Type / Status
Subject Flatanger E442613 entity
Predicate hasSettlement P1068 FINISHED
Object Lauvsnes 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: Lauvsnes | Statement: [Flatanger, hasSettlement, Lauvsnes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lauvsnes
Context triple: [Flatanger, hasSettlement, Lauvsnes]
  • A. Lauvsnes chosen
    Lauvsnes is a small coastal village in Trøndelag county, Norway, known as the main local hub of the Flatanger municipality.
  • B. Valpaços
    Valpaços is a municipality and town in northeastern Portugal known for its wine production, olive oil, and traditional rural landscapes.
  • C. Lauvvik
    Lauvvik is a small village and ferry port in southwestern Norway that serves as a gateway to the Lysefjord and surrounding fjord landscapes.
  • D. Lovat
    Lovat is the traditional Highland estate in Inverness-shire that served as the ancestral seat of Clan Fraser of Lovat in Scotland.
  • E. Lauje
    Lauje are an indigenous ethnic group of Central Sulawesi, Indonesia, known for their distinct Austronesian language and traditional agrarian lifestyle in the region’s highlands and coastal areas.
  • 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_69d8b9ec79688190b86bdcef85a7b3aa completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e478e7773081909dadb90ff5cb0906 completed April 19, 2026, 6:40 a.m.
Created at: April 10, 2026, 10:08 a.m.