Triple

T17732184
Position Surface form Disambiguated ID Type / Status
Subject Flatanger E442613 entity
Predicate administrativeCentre P1474 FINISHED
Object Lauvsnes
Lauvsnes is a small coastal village in Trøndelag county, Norway, known as the main local hub of the Flatanger municipality.
E1285047 NE FINISHED

How this triple was built (4 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, administrativeCentre, Lauvsnes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lauvsnes
Context triple: [Flatanger, administrativeCentre, Lauvsnes]
  • A. Valpaços
    Valpaços is a municipality and town in northeastern Portugal known for its wine production, olive oil, and traditional rural landscapes.
  • B. Lauvvik
    Lauvvik is a small village and ferry port in southwestern Norway that serves as a gateway to the Lysefjord and surrounding fjord landscapes.
  • C. Lovat
    Lovat is the traditional Highland estate in Inverness-shire that served as the ancestral seat of Clan Fraser of Lovat in Scotland.
  • D. 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.
  • E. Lohavan
    Lohavan is a sacred forest region within the Vraja Mandala pilgrimage area associated with the pastimes of Lord Krishna in Hindu tradition.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lauvsnes
Triple: [Flatanger, administrativeCentre, Lauvsnes]
Generated description
Lauvsnes is a small coastal village in Trøndelag county, Norway, known as the main local hub of the Flatanger municipality.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lauvsnes
Target entity description: Lauvsnes is a small coastal village in Trøndelag county, Norway, known as the main local hub of the Flatanger municipality.
  • A. Valpaços
    Valpaços is a municipality and town in northeastern Portugal known for its wine production, olive oil, and traditional rural landscapes.
  • B. Lauvvik
    Lauvvik is a small village and ferry port in southwestern Norway that serves as a gateway to the Lysefjord and surrounding fjord landscapes.
  • C. Lovat
    Lovat is the traditional Highland estate in Inverness-shire that served as the ancestral seat of Clan Fraser of Lovat in Scotland.
  • D. 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.
  • E. Lohavan
    Lohavan is a sacred forest region within the Vraja Mandala pilgrimage area associated with the pastimes of Lord Krishna in Hindu tradition.
  • F. None of above. chosen

Provenance (5 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.
NED1 Entity disambiguation (via context triple) batch_6a0242f577ac8190bc6c258ed79c0f3f completed May 11, 2026, 8:58 p.m.
NEDg Description generation batch_6a024432dae081908718b4d9fa156858 completed May 11, 2026, 9:03 p.m.
NED2 Entity disambiguation (via description) batch_6a0244ad73388190b5b99ccbbd357d77 completed May 11, 2026, 9:05 p.m.
Created at: April 10, 2026, 10:08 a.m.