Triple

T11993521
Position Surface form Disambiguated ID Type / Status
Subject MCA E285470 entity
Predicate shortName P43 FINISHED
Object MC Alger E62970 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: MC Alger | Statement: [MCA, shortName, MC Alger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MC Alger
Context triple: [MCA, shortName, MC Alger]
  • A. MC Alger chosen
    MC Alger is a prominent Algerian professional football club based in Algiers, known for its historic success and large fan base.
  • B. USM Alger
    USM Alger is a prominent professional football club based in Algiers, Algeria, known for its success in domestic and continental competitions.
  • C. Étoile Sportive du Sahel
    Étoile Sportive du Sahel is a major Tunisian multi-sport club best known for its successful football team, which is one of the country’s most decorated and popular sides.
  • D. Maadi Sporting Club
    Maadi Sporting Club is a prominent multi-sport and social club in Cairo’s Maadi district, known for its extensive athletic facilities and long-standing community presence.
  • E. Al Ittihad Club
    Al Ittihad Club is one of Saudi Arabia’s most successful and historic football clubs, based in Jeddah and known for its large fanbase and multiple domestic and continental titles.
  • 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_69d6ab44a77c8190a652f4b27164e4ef completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903b11ac481909866b611380792e7 completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f48ad06350819094180403858db172 completed May 1, 2026, 11:13 a.m.
Created at: April 8, 2026, 9:46 p.m.