Triple

T11087837
Position Surface form Disambiguated ID Type / Status
Subject Vitória E262167 entity
Predicate derby P3425 FINISHED
Object Ba–Vi E257557 NE FINISHED

How this triple was built (2 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: [Vitória, derby, Ba–Vi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ba–Vi
Context triple: [Vitória, derby, Ba–Vi]
  • A. Ba–Vi chosen
    Ba–Vi is the fiercely contested football rivalry between Bahia and Vitória, two of the biggest clubs in the Brazilian state of Bahia.
  • B. Vajna
    Vajna is the surname of Andrew G. Vajna, a prominent Hungarian-American film producer known for co-founding Carolco Pictures and producing major action films such as the Rambo series.
  • C. Baiga
    Baiga are an indigenous Adivasi community of central India known for their traditional shifting cultivation, forest-based livelihood, and distinctive cultural practices.
  • D. Balya
    Balya is a small town and district in western Turkey known historically for its mining activities and rural character.
  • E. Bacavi
    Bacavi is a traditional Hopi village located on the Hopi Reservation in northeastern Arizona.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6aa9a40d88190a373e2c7e48285db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d799c5008081908f59612243fa4f7a completed April 9, 2026, 12:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3e7b68ca88190a26ee54eb873c9cf completed April 18, 2026, 8:21 p.m.
Created at: April 8, 2026, 9:27 p.m.