Triple
T6964266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sabiha Gökçen |
E161447
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Sabiha |
E297140
|
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 Gökçen, givenName, Sabiha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sabiha Context triple: [Sabiha Gökçen, givenName, Sabiha]
-
A.
Sabiha Sultan
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
chosen
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_69c68853cff881908439d488924a8283 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6daf2b7bc8190a3e73f3b24f0352b |
completed | March 27, 2026, 7:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c758a0e5bc819098206940fc3ac623 |
completed | March 28, 2026, 4:27 a.m. |
Created at: March 27, 2026, 2:30 p.m.