Triple

T4365585
Position Surface form Disambiguated ID Type / Status
Subject Oppland E98763 entity
Predicate containsPart P35 FINISHED
Object Vang
Vang is a rural municipality in Innlandet county, Norway, known for its mountainous landscapes, traditional farming communities, and outdoor recreation opportunities.
 E433534 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: Vang | Statement: [Oppland, containsPart, Vang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vang
Context triple: [Oppland, containsPart, Vang]
  • A. Kavalan
    Kavalan is an indigenous Austronesian language of Taiwan, traditionally spoken by the Kavalan people on the island’s northeastern coast.
  • B. Vega Alta
    Vega Alta is a coastal municipality in northern Puerto Rico known for its beaches, agricultural areas, and proximity to the San Juan metropolitan region.
  • C. Volnay
    Volnay is a renowned wine-producing village in Burgundy, France, celebrated for its elegant, aromatic red wines made primarily from Pinot Noir.
  • D. Viré
    Viré is a renowned wine-producing village in France’s Mâconnais region, best known for its high-quality white Burgundy wines made primarily from Chardonnay.
  • E. Le Vigan
    Le Vigan is a historic market town in southern France that serves as one of the main gateways to the Cévennes mountain region.
  • 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: Vang
Triple: [Oppland, containsPart, Vang]
Generated description
Vang is a rural municipality in Innlandet county, Norway, known for its mountainous landscapes, traditional farming communities, and outdoor recreation opportunities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vang
Target entity description: Vang is a rural municipality in Innlandet county, Norway, known for its mountainous landscapes, traditional farming communities, and outdoor recreation opportunities.
  • A. Kavalan
    Kavalan is an indigenous Austronesian language of Taiwan, traditionally spoken by the Kavalan people on the island’s northeastern coast.
  • B. Vega Alta
    Vega Alta is a coastal municipality in northern Puerto Rico known for its beaches, agricultural areas, and proximity to the San Juan metropolitan region.
  • C. Volnay
    Volnay is a renowned wine-producing village in Burgundy, France, celebrated for its elegant, aromatic red wines made primarily from Pinot Noir.
  • D. Viré
    Viré is a renowned wine-producing village in France’s Mâconnais region, best known for its high-quality white Burgundy wines made primarily from Chardonnay.
  • E. Le Vigan
    Le Vigan is a historic market town in southern France that serves as one of the main gateways to the Cévennes mountain region.
  • 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_69b3454c772081908e20173e379e8ebe completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35200263081909bb326a4d7a8db99 completed March 12, 2026, 11:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5dbcbbd1881908eb9f0ea6b2fe16b completed March 14, 2026, 10:06 p.m.
NEDg Description generation batch_69b5dcf36dfc8190847925dbed92c059 completed March 14, 2026, 10:10 p.m.
NED2 Entity disambiguation (via description) batch_69b5ddad45b8819082ac7a3a9c5f2f07 completed March 14, 2026, 10:14 p.m.
Created at: March 12, 2026, 11:17 p.m.