Triple
T10320932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Botola |
E242133
|
entity |
| Predicate | hasDivision |
P35
|
FINISHED |
| Object | Botola Pro 1 |
E242133
|
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: Botola Pro 1 | Statement: [Botola, hasDivision, Botola Pro 1]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Botola Pro 1 Context triple: [Botola, hasDivision, Botola Pro 1]
-
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.
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.
-
E.
Algerian Cup
The Algerian Cup is Algeria’s premier national football knockout tournament, contested 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_69d381ac38808190a8ca7457c85b625b |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d6cbbb548190b757ec5a02d60e5c |
completed | April 7, 2026, 10:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d794e8e57c8190933bad4a3cead75f |
completed | April 9, 2026, noon |
Created at: April 6, 2026, 11:50 a.m.