Triple

T22314971
Position Surface form Disambiguated ID Type / Status
Subject Parthia E551617 entity
Predicate borderedBy P224 FINISHED
Object Aria
Aria was an ancient historical region in northeastern Iran, centered around the city of Herat and known for its strategic location along important trade routes.
E1530032 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: Aria | Statement: [Parthia, borderedBy, Aria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aria
Context triple: [Parthia, borderedBy, Aria]
  • A. Aria
    Aria is a popular song by Italian rock singer-songwriter Gianna Nannini.
  • B. Aria
    Aria is a 1987 avant-garde anthology film that reimagines famous opera arias through a series of visually stylized, dialogue-free segments directed by multiple filmmakers.
  • C. Aria
    Aria is a crash-safe, transactional storage engine used in MariaDB for efficient handling of complex queries and temporary tables.
  • D. Aria
    Aria is an adult film in which actress Bridget Fonda made her debut in explicit cinema.
  • E. Arias
    Arias is a Spanish-language surname commonly found across Spain and Latin America.
  • 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: Aria
Triple: [Parthia, borderedBy, Aria]
Generated description
Aria was an ancient historical region in northeastern Iran, centered around the city of Herat and known for its strategic location along important trade routes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Aria
Target entity description: Aria was an ancient historical region in northeastern Iran, centered around the city of Herat and known for its strategic location along important trade routes.
  • A. Aria
    Aria is a crash-safe, transactional storage engine used in MariaDB for efficient handling of complex queries and temporary tables.
  • B. Aria
    Aria is an adult film in which actress Bridget Fonda made her debut in explicit cinema.
  • C. Aria
    Aria is a popular song by Italian rock singer-songwriter Gianna Nannini.
  • D. Aria
    Aria is a 1987 avant-garde anthology film that reimagines famous opera arias through a series of visually stylized, dialogue-free segments directed by multiple filmmakers.
  • E. Arias
    Arias was the former name of the UK’s prestigious Radio Academy Awards, which honor excellence in radio and audio broadcasting.
  • 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_69e11e4776588190abb21e5cea79973f completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1575287688190aa642bb49b24f5a1 completed April 29, 2026, 12:56 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0acca7cc988190a88897e9f71ea79c completed May 18, 2026, 8:24 a.m.
NEDg Description generation batch_6a0acd7bfb4c81909475874f808887c0 completed May 18, 2026, 8:27 a.m.
NED2 Entity disambiguation (via description) batch_6a0ace029b74819086a545100e8a8f8a completed May 18, 2026, 8:29 a.m.
Created at: April 16, 2026, 8:42 p.m.