Triple

T4731398
Position Surface form Disambiguated ID Type / Status
Subject Barbagia E105015 entity
Predicate majorTown P316 FINISHED
Object Orgosolo
Orgosolo is a town in central Sardinia, Italy, renowned for its striking political murals and strong traditional Sardinian culture.
 E464642 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: Orgosolo | Statement: [Barbagia, majorTown, Orgosolo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Orgosolo
Context triple: [Barbagia, majorTown, Orgosolo]
  • A. Areia
    Areia is a historic colonial-era city in the Brazilian state of Paraíba, known for its preserved architecture and cultural heritage.
  • B. Greensand
    Greensand is a glauconite-rich, greenish sandstone commonly found in southern England, valued both as a geological marker and historically as a soil conditioner.
  • C. Talx
    Talx is a workforce solutions and employment verification company that operates as a subsidiary of the credit reporting agency Equifax.
  • D. Hinderclay
    Hinderclay is a small rural village and civil parish located in the county of Suffolk in eastern England.
  • E. Mitti
    Mitti is a character appearing in the film "The Wedding March."
  • 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: Orgosolo
Triple: [Barbagia, majorTown, Orgosolo]
Generated description
Orgosolo is a town in central Sardinia, Italy, renowned for its striking political murals and strong traditional Sardinian culture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Orgosolo
Target entity description: Orgosolo is a town in central Sardinia, Italy, renowned for its striking political murals and strong traditional Sardinian culture.
  • A. Areia
    Areia is a historic colonial-era city in the Brazilian state of Paraíba, known for its preserved architecture and cultural heritage.
  • B. Greensand
    Greensand is a glauconite-rich, greenish sandstone commonly found in southern England, valued both as a geological marker and historically as a soil conditioner.
  • C. Talx
    Talx is a workforce solutions and employment verification company that operates as a subsidiary of the credit reporting agency Equifax.
  • D. Hinderclay
    Hinderclay is a small rural village and civil parish located in the county of Suffolk in eastern England.
  • E. Mitti
    Mitti is a character appearing in the film "The Wedding March."
  • 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_69bd43ee52048190b81a4f066534ffb3 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd64647c788190b7aa908c42ac11cf completed March 20, 2026, 3:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69be10a9386c81908557fe4feb190e8a completed March 21, 2026, 3:29 a.m.
NEDg Description generation batch_69be150ee8c8819083bd769ae8522418 completed March 21, 2026, 3:48 a.m.
NED2 Entity disambiguation (via description) batch_69be158121d08190a50c8d405264839b completed March 21, 2026, 3:50 a.m.
Created at: March 20, 2026, 1:19 p.m.