Triple

T7989365
Position Surface form Disambiguated ID Type / Status
Subject Sumvitg E185761 entity
Predicate neighboringMunicipality P17964 FINISHED
Object Vella
Vella is a village and former municipality in the canton of Graubünden in eastern Switzerland, known for its traditional alpine setting and proximity to the Surselva region.
 E702798 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: Vella | Statement: [Sumvitg, neighboringMunicipality, Vella]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vella
Context triple: [Sumvitg, neighboringMunicipality, Vella]
  • A. Vangunu
    Vangunu is an Oceanic language of the Meso-Melanesian group spoken on Vangunu Island in the Solomon Islands.
  • B. Vayavi
    Vayavi is a lesser-known figure in Hindu mythology identified as the consort of the wind god Vayu.
  • C. Lavia
    Lavia is a small municipality in southwestern Finland known for its rural landscapes and proximity to the town of Sastamala.
  • D. Vaile
    Vaile is a surname of English origin borne by various individuals and families.
  • E. Velia
    Velia was an important ancient Greek coastal city in Lucania, southern Italy, known for its role as a philosophical center of the Eleatic school.
  • 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: Vella
Triple: [Sumvitg, neighboringMunicipality, Vella]
Generated description
Vella is a village and former municipality in the canton of Graubünden in eastern Switzerland, known for its traditional alpine setting and proximity to the Surselva region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vella
Target entity description: Vella is a village and former municipality in the canton of Graubünden in eastern Switzerland, known for its traditional alpine setting and proximity to the Surselva region.
  • A. Vangunu
    Vangunu is an Oceanic language of the Meso-Melanesian group spoken on Vangunu Island in the Solomon Islands.
  • B. Vayavi
    Vayavi is a lesser-known figure in Hindu mythology identified as the consort of the wind god Vayu.
  • C. Lavia
    Lavia is a small municipality in southwestern Finland known for its rural landscapes and proximity to the town of Sastamala.
  • D. Vaile
    Vaile is a surname of English origin borne by various individuals and families.
  • E. Velia
    Velia was an important ancient Greek coastal city in Lucania, southern Italy, known for its role as a philosophical center of the Eleatic school.
  • 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_69ca829a2cfc819083d591d58ec04075 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3c4f98808190879113ad4af9bb4d completed March 31, 2026, 3:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe0ed61588190b01423061acfce49 completed March 31, 2026, 2:57 p.m.
NEDg Description generation batch_69cbe43f883081908768a7314409b622 completed March 31, 2026, 3:11 p.m.
NED2 Entity disambiguation (via description) batch_69cc34c6cf6881909b28a0b6882b518d completed March 31, 2026, 8:55 p.m.
Created at: March 30, 2026, 5:16 p.m.