Triple

T16418760
Position Surface form Disambiguated ID Type / Status
Subject Américo E398755 entity
Predicate etymologicalRelation P2530 FINISHED
Object Amerigo
Amerigo is an Italian given name best known from the explorer Amerigo Vespucci, whose name inspired the term "America."
E1214433 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: Amerigo | Statement: [Américo, etymologicalRelation, Amerigo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amerigo
Context triple: [Américo, etymologicalRelation, Amerigo]
  • A. Vespucio Norte
    Vespucio Norte is a major metro station in Santiago, Chile, serving as a key northern terminal and transport hub in the city’s rail network.
  • B. Ameria
    Ameria is an ancient Umbrian town in central Italy, known today as Amelia, with significant archaeological and historical remains from pre-Roman and Roman times.
  • C. Américo
    Américo is a Portuguese given name commonly used for men, notably borne by figures such as former president Américo Tomás.
  • D. Vespucio Sur
    Vespucio Sur is a major urban highway in Santiago, Chile, forming part of the city’s beltway system and facilitating high-capacity traffic flow around the southern sector of the capital.
  • E. Amery
    Amery is an English surname most notably associated with a British political family, including Conservative politician Julian Amery.
  • 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: Amerigo
Triple: [Américo, etymologicalRelation, Amerigo]
Generated description
Amerigo is an Italian given name best known from the explorer Amerigo Vespucci, whose name inspired the term "America."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Amerigo
Target entity description: Amerigo is an Italian given name best known from the explorer Amerigo Vespucci, whose name inspired the term "America."
  • A. Vespucio Norte
    Vespucio Norte is a major metro station in Santiago, Chile, serving as a key northern terminal and transport hub in the city’s rail network.
  • B. Ameria
    Ameria is an ancient Umbrian town in central Italy, known today as Amelia, with significant archaeological and historical remains from pre-Roman and Roman times.
  • C. Américo
    Américo is a Portuguese given name commonly used for men, notably borne by figures such as former president Américo Tomás.
  • D. Vespucio Sur
    Vespucio Sur is a major urban highway in Santiago, Chile, forming part of the city’s beltway system and facilitating high-capacity traffic flow around the southern sector of the capital.
  • E. Amery
    Amery is an English surname most notably associated with a British political family, including Conservative politician Julian Amery.
  • 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_69d87f2b9024819085c20e52de95d583 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e3287a3d348190831b12101d8449b6 completed April 18, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004f457b8c8190b278697ef43301cb completed May 10, 2026, 9:26 a.m.
NEDg Description generation batch_6a004ff9e2e88190afa4726e3ba71ea9 completed May 10, 2026, 9:29 a.m.
NED2 Entity disambiguation (via description) batch_6a00505beaa881909aca531af1149fbc completed May 10, 2026, 9:31 a.m.
Created at: April 10, 2026, 5:09 a.m.