Triple

T11525880
Position Surface form Disambiguated ID Type / Status
Subject ASFAR E273293 entity
Predicate topDivision P18791 FINISHED
Object Botola 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 | Statement: [ASFAR, topDivision, Botola]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Botola
Context triple: [ASFAR, topDivision, Botola]
  • A. Botola chosen
    Botola is Morocco's top professional football league, featuring the country's leading clubs in its premier division.
  • B. Botola 2
    Botola 2 is the second tier of professional football in Morocco, sitting directly below the top-flight Botola in the national league system.
  • C. 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.
  • D. 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.
  • E. 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.
  • 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_69d6aae3fbec8190a14632a5df2538b6 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d87fd379648190b342e0c4b4f685b7 completed April 10, 2026, 4:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69e6855270b08190bdb175a8dede176e completed April 20, 2026, 7:58 p.m.
Created at: April 8, 2026, 9:37 p.m.