Triple

T2345650
Position Surface form Disambiguated ID Type / Status
Subject Bahia E45123 entity
Predicate derby P3425 FINISHED
Object Ba–Vi
Ba–Vi is the fiercely contested football rivalry between Bahia and Vitória, two of the biggest clubs in the Brazilian state of Bahia.
 E257557 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: Ba–Vi | Statement: [Bahia, derby, Ba–Vi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ba–Vi
Context triple: [Bahia, derby, Ba–Vi]
  • A. Bacavi
    Bacavi is a traditional Hopi village located on the Hopi Reservation in northeastern Arizona.
  • B. Ivanychi
    Ivanychi is a small urban-type settlement in western Ukraine that serves as a local administrative and community center within Volyn Oblast.
  • C. Baniata
    Baniata is an Oceanic language of the Meso-Melanesian group spoken in the Solomon Islands.
  • D. Borjgali
    Borjgali is an ancient Georgian symbol depicting a stylized, rotating sun often placed above a tree of life, representing eternity, vitality, and the continuity of the Georgian nation.
  • E. Vica
    Vica is a diminutive or nickname commonly used for the given name Ludovica.
  • 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: Ba–Vi
Triple: [Bahia, derby, Ba–Vi]
Generated description
Ba–Vi is the fiercely contested football rivalry between Bahia and Vitória, two of the biggest clubs in the Brazilian state of Bahia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ba–Vi
Target entity description: Ba–Vi is the fiercely contested football rivalry between Bahia and Vitória, two of the biggest clubs in the Brazilian state of Bahia.
  • A. Bacavi
    Bacavi is a traditional Hopi village located on the Hopi Reservation in northeastern Arizona.
  • B. Ivanychi
    Ivanychi is a small urban-type settlement in western Ukraine that serves as a local administrative and community center within Volyn Oblast.
  • C. Baniata
    Baniata is an Oceanic language of the Meso-Melanesian group spoken in the Solomon Islands.
  • D. Borjgali
    Borjgali is an ancient Georgian symbol depicting a stylized, rotating sun often placed above a tree of life, representing eternity, vitality, and the continuity of the Georgian nation.
  • E. Vica
    Vica is a diminutive or nickname commonly used for the given name Ludovica.
  • 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_69a88917935081909b755dbf38e81024 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abc6c7cb9481909405aeb503f804ae completed March 7, 2026, 6:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae9628059481909c96a7661bc87a73 completed March 9, 2026, 9:43 a.m.
NEDg Description generation batch_69ae9727a28881909eebc67189dfc856 completed March 9, 2026, 9:47 a.m.
NED2 Entity disambiguation (via description) batch_69ae9795cf048190bc7a01ef86c12138 completed March 9, 2026, 9:49 a.m.
Created at: March 4, 2026, 7:52 p.m.