Triple
T10337363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qalawun |
E243041
|
entity |
| Predicate | predecessor |
P97
|
FINISHED |
| Object | Al-Said Barakah |
E441252
|
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: Al-Said Barakah | Statement: [Qalawun, predecessor, Al-Said Barakah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Al-Said Barakah Context triple: [Qalawun, predecessor, Al-Said Barakah]
-
A.
al-Said Barakah
chosen
Al-Said Barakah was a short-reigned Mamluk sultan of Egypt in the late 13th century and the son of the powerful sultan Baibars.
-
B.
Mubarak Al-Kabeer
Mubarak Al-Kabeer is a governorate-level administrative area in Kuwait, known for its primarily residential districts and proximity to Kuwait City.
-
C.
Al-Ruʾāsī
Al-Ruʾāsī was an early Arab grammarian and one of the foundational figures of the Kufan school of grammar in the formative period of Arabic linguistic scholarship.
-
D.
Tantawi
Tantawi is an Arabic surname most notably associated with Egyptian military leader and former de facto head of state Mohamed Hussein Tantawi.
-
E.
Zayed
Zayed is a given name most prominently associated with Sheikh Zayed bin Sultan Al Nahyan, the founding father and first president of the United Arab Emirates.
- 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e0a3a8e4819097268ce101dec2d1 |
completed | April 7, 2026, 10:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d794fe4fe481908e4c343ceeb5de25 |
completed | April 9, 2026, 12:01 p.m. |
Created at: April 6, 2026, 11:54 a.m.