Triple
T10321148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Renaissance Sportive de Berkane |
E242139
|
entity |
| Predicate | homeCity |
P263
|
FINISHED |
| Object | Berkane |
E662353
|
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: Berkane | Statement: [Renaissance Sportive de Berkane, homeCity, Berkane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Berkane Context triple: [Renaissance Sportive de Berkane, homeCity, Berkane]
-
A.
Berkane
chosen
Berkane is a city in northeastern Morocco known for its agricultural production and its location near the Beni Iznasen tribal region.
-
B.
Jahra
Jahra is a major town and administrative center in western Kuwait, known historically as an agricultural area and now as a growing suburban and commercial hub.
-
C.
Barquq
Barquq was a prominent 14th-century Mamluk sultan of Egypt who founded the Burji (Circassian) Mamluk dynasty and played a key role in reshaping the political landscape of the late medieval Islamic world.
-
D.
El Hadaba
El Hadaba is the famous nickname of Egyptian singer Amr Diab, one of the Arab world's most successful and influential pop music stars.
-
E.
Nour El Ain
"Nour El Ain" is a hugely popular Arabic pop song by Egyptian singer Amr Diab that became an international hit in the late 1990s.
- 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_69d7503f3df88190bc5acb5e5295f787 |
completed | April 9, 2026, 7:07 a.m. |
Created at: April 6, 2026, 11:50 a.m.