Triple

T16448514
Position Surface form Disambiguated ID Type / Status
Subject Prato allo Stelvio E399492 entity
Predicate hasSubdivision P747 FINISHED
Object Agumes
Agumes is a small village and frazione of the municipality of Prato allo Stelvio in South Tyrol, northern Italy.
E1213206 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: Agumes | Statement: [Prato allo Stelvio, hasSubdivision, Agumes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Agumes
Context triple: [Prato allo Stelvio, hasSubdivision, Agumes]
  • A. Guamo
    Guamo is a municipality and agricultural town in central Colombia’s Tolima Department, known for its warm climate and regional farming economy.
  • B. Amaro
    Amaro is a Spanish surname most notably borne by Juan José de los Reyes Martínez Amaro, a figure associated with Mexico’s struggle for independence.
  • C. Bramsito
    Bramsito is a French singer, rapper, and songwriter known for his melodic blend of Afrobeat, R&B, and urban pop.
  • D. Saborío
    Saborío is a Spanish-language surname most notably associated with Costa Rican footballer Álvaro Saborío.
  • E. Bardez
    Bardez is a coastal taluka in North Goa, India, known for its popular beaches, tourism, and blend of Portuguese and Goan cultural heritage.
  • 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: Agumes
Triple: [Prato allo Stelvio, hasSubdivision, Agumes]
Generated description
Agumes is a small village and frazione of the municipality of Prato allo Stelvio in South Tyrol, northern Italy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Agumes
Target entity description: Agumes is a small village and frazione of the municipality of Prato allo Stelvio in South Tyrol, northern Italy.
  • A. Guamo
    Guamo is a municipality and agricultural town in central Colombia’s Tolima Department, known for its warm climate and regional farming economy.
  • B. Amaro
    Amaro is a Spanish surname most notably borne by Juan José de los Reyes Martínez Amaro, a figure associated with Mexico’s struggle for independence.
  • C. Bramsito
    Bramsito is a French singer, rapper, and songwriter known for his melodic blend of Afrobeat, R&B, and urban pop.
  • D. Saborío
    Saborío is a Spanish-language surname most notably associated with Costa Rican footballer Álvaro Saborío.
  • E. Bardez
    Bardez is a coastal taluka in North Goa, India, known for its popular beaches, tourism, and blend of Portuguese and Goan cultural heritage.
  • 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_69d87f2c6778819080fcfae53be8f12a completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32cdee44c8190ae0df20c58ff7558 completed April 18, 2026, 7:03 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004594a4508190be08f3acfff36ab0 completed May 10, 2026, 8:45 a.m.
NEDg Description generation batch_6a0046833e208190a0e1e37fc24c09e0 completed May 10, 2026, 8:49 a.m.
NED2 Entity disambiguation (via description) batch_6a00471604f88190b7cc58a77b861585 completed May 10, 2026, 8:51 a.m.
Created at: April 10, 2026, 5:10 a.m.