Triple

T2899857
Position Surface form Disambiguated ID Type / Status
Subject USM Alger E62628 entity
Predicate derby P3425 FINISHED
Object Algiers Derby E285476 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: Algiers Derby | Statement: [USM Alger, derby, Algiers Derby]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Algiers Derby
Context triple: [USM Alger, derby, Algiers Derby]
  • A. Algiers derby chosen
    The Algiers derby is a fiercely contested football rivalry match in Algiers, Algeria, primarily known for its intense atmosphere and deep-rooted local passion.
  • B. Tehran Derby
    The Tehran Derby is a fiercely contested Iranian football match between city rivals Persepolis and Esteghlal, regarded as one of Asia’s most passionate and high-profile derbies.
  • C. Riyadh Derby
    The Riyadh Derby is a fiercely contested football rivalry match between the major Saudi clubs based in Riyadh, most notably Al Hilal and Al Nassr.
  • D. Chedli Klibi
    Chedli Klibi was a Tunisian politician and diplomat who notably served as Secretary-General of the Arab League, becoming the first non-Egyptian to hold the post.
  • E. Moroccan Throne Cup
    The Moroccan Throne Cup is Morocco’s premier national knockout football competition, contested annually 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_69ab4c3e070c8190b78d3d2c005876dd completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abe0b081308190af8875151fb11c4e completed March 7, 2026, 8:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69b0318c544881909f6aabfb2d25e724 completed March 10, 2026, 2:58 p.m.
Created at: March 6, 2026, 10:10 p.m.