Triple
T5408887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sabiha Sultan |
E120962
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Sabiha |
E120962
|
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: Sabiha | Statement: [Sabiha Sultan, givenName, Sabiha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sabiha Context triple: [Sabiha Sultan, givenName, Sabiha]
-
A.
Sabiha Sultan
chosen
Sabiha Sultan was an Ottoman princess, the daughter of the last Ottoman sultan Mehmed VI, known for her life in exile after the abolition of the sultanate.
-
B.
Faiha
Faiha is a residential district in Kuwait City known for its planned layout, community facilities, and central location within the capital.
-
C.
Shawiya
Shawiya refers to an Amazigh (Berber) ethnic group and their Zenati Berber language spoken primarily in the Aurès Mountains of northeastern Algeria.
-
D.
Sajida
Sajida is an Arabic feminine given name commonly used in the Middle East and among Muslim communities worldwide.
-
E.
Sawalha
Sawalha is a family name most notably associated with British actresses Julia and Nadia Sawalha.
- 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_69bd46391c0c81909fa484446732b6a3 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd8794e0c4819082bebf2da5e41201 |
completed | March 20, 2026, 5:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf33990f248190841493f0720aa8ee |
completed | March 22, 2026, 12:11 a.m. |
Created at: March 20, 2026, 2:05 p.m.