Triple
T6964313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SAW |
E161448
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Sabiha Gökçen |
E161447
|
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 Gökçen | Statement: [SAW, namedAfter, Sabiha Gökçen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sabiha Gökçen Context triple: [SAW, namedAfter, Sabiha Gökçen]
-
A.
Sabiha Gökçen
chosen
Sabiha Gökçen was Turkey’s first female combat pilot and one of the world’s earliest female fighter pilots, celebrated as a pioneering figure in aviation history.
-
B.
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.
-
C.
Gülse Birsel
Gülse Birsel is a prominent Turkish screenwriter, actress, columnist, and television host known for creating and starring in popular comedy series.
-
D.
Oya Baydar
Oya Baydar is a prominent Turkish novelist, sociologist, and political activist known for her socially engaged fiction and critical commentary on Turkey’s political landscape.
-
E.
Zehra Zümrüt Selçuk
Zehra Zümrüt Selçuk is a Turkish politician and former Minister of Family, Labour and Social Services known for her work on social policy and welfare issues.
- 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_69c761908564819084505f0ab1122a9c |
completed | March 28, 2026, 5:05 a.m. |
Created at: March 27, 2026, 2:30 p.m.