Triple

T10320923
Position Surface form Disambiguated ID Type / Status
Subject Botola E242133 entity
Predicate alsoKnownAs P39 FINISHED
Object Botola Pro E242133 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: Botola Pro | Statement: [Botola, alsoKnownAs, Botola Pro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Botola Pro
Context triple: [Botola, alsoKnownAs, Botola Pro]
  • A. Botola chosen
    Botola is Morocco's top professional football league, featuring the country's leading clubs in its premier division.
  • B. Algerian Ligue Professionnelle 1
    The Algerian Ligue Professionnelle 1 is the top-tier professional football league in Algeria, featuring the country’s leading clubs competing for the national championship.
  • C. Tunisian Ligue Professionnelle 1
    Tunisian Ligue Professionnelle 1 is the top-tier professional football league in Tunisia, featuring the country’s leading clubs in the national championship.
  • D. Algerian Super Cup
    The Algerian Super Cup is an annual football match in Algeria that typically pits the league champion against the national cup winner to open the domestic season.
  • E. Algerian Cup
    The Algerian Cup is Algeria’s premier national football knockout tournament, contested by clubs from across the country.
  • 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_69d381ac38808190a8ca7457c85b625b completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d6cbbb548190b757ec5a02d60e5c completed April 7, 2026, 10:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71d9b2ad881909f3076f8f9d1b1d3 completed April 9, 2026, 3:31 a.m.
Created at: April 6, 2026, 11:50 a.m.