Triple

T13162589
Position Surface form Disambiguated ID Type / Status
Subject USMA E312762 entity
Predicate rival P437 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: [USMA, rival, MC Alger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MC Alger
Context triple: [USMA, rival, 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. Mouloudia Club d'Alger
    Mouloudia Club d'Alger is a prominent Algerian multi-sport club best known for its successful football team based in Algiers.
  • D. 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.
  • E. 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.
  • 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_69d806ac3ee081909b2fd27d060aa974 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c0a9d348190909fcf45f9d650e4 completed April 10, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f716bf10f48190b20d0358cf5fbc9e completed May 3, 2026, 9:34 a.m.
Created at: April 9, 2026, 9:12 p.m.