Triple

T20973968
Position Surface form Disambiguated ID Type / Status
Subject Manuel da Costa E516574 entity
Predicate leagueParticipation P2209 FINISHED
Object Botola NE NERFINISHED

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: [Manuel da Costa, leagueParticipation, Botola]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Botola
Context triple: [Manuel da Costa, leagueParticipation, 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. Algerian Ligue 2
    Algerian Ligue 2 is the second tier of professional football in Algeria, sitting directly below the top-flight Ligue Professionnelle 1 in the national league system.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4fee5ac8190875fa9ceba1a5e5e completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fba2406c8190bd75dec585c14bfa completed April 21, 2026, 4:22 a.m.
Created at: April 16, 2026, 1:45 p.m.