Triple
T2874302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mahdist Sudan |
E56838
|
entity |
| Predicate | leaderTitle |
P8
|
FINISHED |
| Object | Khalifa |
E236945
|
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: Khalifa | Statement: [Mahdist Sudan, leaderTitle, Khalifa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Khalifa Context triple: [Mahdist Sudan, leaderTitle, Khalifa]
-
A.
Khalifa
chosen
Khalifa is a masculine Arabic given name commonly used across the Middle East and North Africa, meaning "successor" or "steward."
-
B.
Walid
Walid is a masculine given name of Arabic origin commonly used across the Middle East and North Africa.
-
C.
El Khalifa
El Khalifa is a historic district in Cairo, Egypt, known for its dense urban fabric, Islamic architecture, and significant religious and cultural landmarks.
-
D.
Fahd
Fahd is a male given name of Arabic origin, notably borne by King Fahd of Saudi Arabia.
-
E.
Khaldoon Al Mubarak
Khaldoon Al Mubarak is an Emirati businessman and influential executive known for overseeing Manchester City’s rise to prominence under Abu Dhabi ownership.
- 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_69ab4a4ced288190ab6d3e062d10f7f6 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abe0032ddc8190bb4d15ec7e3c63e8 |
completed | March 7, 2026, 8:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b01db780908190919d859205464b2e |
completed | March 10, 2026, 1:33 p.m. |
Created at: March 6, 2026, 10:03 p.m.