Triple

T10500951
Position Surface form Disambiguated ID Type / Status
Subject Kingdom of the Suebi E247669 entity
Predicate currency P245 FINISHED
Object siliqua
The siliqua was a small late Roman silver coin that continued to be used as currency by successor kingdoms such as the Kingdom of the Suebi.
 E867291 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: siliqua | Statement: [Kingdom of the Suebi, currency, siliqua]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: siliqua
Context triple: [Kingdom of the Suebi, currency, siliqua]
  • A. Siligo
    Siligo is a small municipality in the Logudoro region of northern Sardinia, Italy, known for its rural landscape and traditional Sardinian culture.
  • B. Sill
    The Sill is a river in Tyrol, Austria, that flows through the Wipptal valley and the city of Innsbruck before joining the Inn.
  • C. Sill
    Sill is the surname of American singer-songwriter Judee Sill, known for her baroque folk compositions in the early 1970s.
  • D. Quartz
    Quartz is a digital news outlet known for its global business journalism, data-driven reporting, and mobile-first storytelling.
  • E. Quartz
    Quartz is Apple's 2D graphics rendering and compositing engine that underpins the visual display system in macOS.
  • 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: siliqua
Triple: [Kingdom of the Suebi, currency, siliqua]
Generated description
The siliqua was a small late Roman silver coin that continued to be used as currency by successor kingdoms such as the Kingdom of the Suebi.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: siliqua
Target entity description: The siliqua was a small late Roman silver coin that continued to be used as currency by successor kingdoms such as the Kingdom of the Suebi.
  • A. Siligo
    Siligo is a small municipality in the Logudoro region of northern Sardinia, Italy, known for its rural landscape and traditional Sardinian culture.
  • B. Sill
    The Sill is a river in Tyrol, Austria, that flows through the Wipptal valley and the city of Innsbruck before joining the Inn.
  • C. Sill
    Sill is the surname of American singer-songwriter Judee Sill, known for her baroque folk compositions in the early 1970s.
  • D. Quartz
    Quartz is a digital news outlet known for its global business journalism, data-driven reporting, and mobile-first storytelling.
  • E. Quartz
    Quartz is Apple's 2D graphics rendering and compositing engine that underpins the visual display system in macOS.
  • 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_69d381c4aa948190942e1d803143fb0e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5099b797c8190a94803fa94eb6981 completed April 7, 2026, 1:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8dccec72481909bcfb6a9c5df7ba9 completed April 10, 2026, 11:19 a.m.
NEDg Description generation batch_69d8e8c9d5cc8190a425ed834855bbcd completed April 10, 2026, 12:10 p.m.
NED2 Entity disambiguation (via description) batch_69d901fecee88190999e88ca2e56a516 completed April 10, 2026, 1:58 p.m.
Created at: April 6, 2026, 12:25 p.m.