Triple

T3957499
Position Surface form Disambiguated ID Type / Status
Subject Sassarese E85816 entity
Predicate hasRegion P285 FINISHED
Object Anglona
Anglona is a historical and geographical subregion in northern Sardinia, Italy, known for its rural landscapes, medieval villages, and traditional Sardinian culture.
 E401306 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: Anglona | Statement: [Sassarese, hasRegion, Anglona]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Anglona
Context triple: [Sassarese, hasRegion, Anglona]
  • A. Angolar
    Angolar is a Portuguese-based creole language spoken primarily by the Angolar community on the island of São Tomé in São Tomé and Príncipe.
  • B. Angas
    Angas is a major West Chadic language spoken primarily in central Nigeria.
  • C. Angas
    Angas are the eight principal canonical texts of early Jainism that systematically present its core doctrines, ethics, and monastic discipline.
  • D. Goytre
    Goytre is a village and community located within the county borough of Neath Port Talbot in South Wales.
  • E. Ahangama
    Ahangama is a coastal town in southern Sri Lanka known for its beaches, surfing spots, and traditional stilt fishermen.
  • 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: Anglona
Triple: [Sassarese, hasRegion, Anglona]
Generated description
Anglona is a historical and geographical subregion in northern Sardinia, Italy, known for its rural landscapes, medieval villages, and traditional Sardinian culture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Anglona
Target entity description: Anglona is a historical and geographical subregion in northern Sardinia, Italy, known for its rural landscapes, medieval villages, and traditional Sardinian culture.
  • A. Angolar
    Angolar is a Portuguese-based creole language spoken primarily by the Angolar community on the island of São Tomé in São Tomé and Príncipe.
  • B. Angas
    Angas is a major West Chadic language spoken primarily in central Nigeria.
  • C. Angas
    Angas are the eight principal canonical texts of early Jainism that systematically present its core doctrines, ethics, and monastic discipline.
  • D. Goytre
    Goytre is a village and community located within the county borough of Neath Port Talbot in South Wales.
  • E. Ahangama
    Ahangama is a coastal town in southern Sri Lanka known for its beaches, surfing spots, and traditional stilt fishermen.
  • 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_69aed93a96908190bcbdbfa718f155bd completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef95bbb9c8190bd64c5b7ea2f341a completed March 9, 2026, 4:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b533b1bd1c81909d901ee334cb7b31 completed March 14, 2026, 10:08 a.m.
NEDg Description generation batch_69b53490827481909586fb8031a78b49 completed March 14, 2026, 10:12 a.m.
NED2 Entity disambiguation (via description) batch_69b53540217c819089b9ae3441805bac completed March 14, 2026, 10:15 a.m.
Created at: March 9, 2026, 3:31 p.m.