Triple
T11993567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Doyen |
E285471
|
entity |
| Predicate | refersTo |
P37
|
FINISHED |
| Object | MC Alger |
E959287
|
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: [Le Doyen, refersTo, MC Alger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MC Alger Context triple: [Le Doyen, refersTo, MC Alger]
-
A.
MC Alger
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
chosen
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_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_69f49d183ee881908f1c0ca4562344a9 |
completed | May 1, 2026, 12:31 p.m. |
Created at: April 8, 2026, 9:46 p.m.