Triple
T21142146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ulviye Sultan |
E520958
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Ulviye |
—
|
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: Ulviye | Statement: [Ulviye Sultan, givenName, Ulviye]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ulviye Context triple: [Ulviye Sultan, givenName, Ulviye]
-
A.
Ulviye
chosen
Ulviye is a feminine given name of Turkish origin, historically borne by Ottoman princess Fatma Ulviye Sabiha Sultan.
-
B.
Uysal
Uysal is a Turkish surname borne by various notable individuals in fields such as politics, sports, and academia.
-
C.
Seyhun
Seyhun is the historical name used in Islamic and Central Asian sources for the Syr Darya River, one of the major rivers of Central Asia.
-
D.
Sulakyurt
Sulakyurt is a small town and district in central Turkey, located within Kırıkkale Province.
-
E.
Beylikova
Beylikova is a small town and district in central Turkey known for its agricultural activities and location within Eskişehir Province.
- 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_69e0b50c6a848190a4e525a77a319b8a |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e723f96cf081909d10309e08aeca93 |
completed | April 21, 2026, 7:15 a.m. |
Created at: April 16, 2026, 2:57 p.m.