Triple
T19792767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naime Sultan |
E475456
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object | Bidar Kadın |
—
|
NE NERFINISHED |
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: Bidar Kadın | Statement: [Naime Sultan, mother, Bidar Kadın]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bidar Kadın Context triple: [Naime Sultan, mother, Bidar Kadın]
-
A.
Bidar Kadın
chosen
Bidar Kadın was a consort of Ottoman Sultan Abdul Hamid II and a member of the late Ottoman imperial harem.
-
B.
Bidadi
Bidadi is a rapidly developing town near Bengaluru in Karnataka, India, known for its industrial hubs, educational institutions, and popular local eateries.
-
C.
Ramara
Ramara is a rural township in Simcoe County, Ontario, Canada, known for its waterfront communities and recreational access to Lake Simcoe and Lake Couchiching.
-
D.
Badra
Badra is a town in eastern Iraq near the Iranian border, known historically as a trading and transit point between the two countries.
-
E.
Sardula
Sardula was a prominent American Thoroughbred racehorse known for her success on the track in the early 1990s.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e51b014081908b263e167370529a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e653c4a8a88190afc2f2cd1ebbbe1e |
completed | April 20, 2026, 4:26 p.m. |
Created at: April 10, 2026, 1:49 p.m.