Triple
T16273513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Şehzade Mahmud |
E395062
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Şehzade |
E379611
|
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: Şehzade | Statement: [Şehzade Mahmud, title, Şehzade]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Şehzade Context triple: [Şehzade Mahmud, title, Şehzade]
-
A.
Shahzada
chosen
Shahzada is a royal title used in Persianate and South Asian cultures to denote a prince or son of a monarch.
-
B.
Şehzadebaşı
Şehzadebaşı is a historic neighborhood in Istanbul, Turkey, known for its Ottoman-era architecture, religious complexes, and cultural heritage.
-
C.
Şahmerdan
Şahmerdan is a short story collection by renowned Turkish writer Sait Faik Abasıyanık, reflecting his modernist style and focus on everyday Istanbul life.
-
D.
Sultan
The Sultan was the supreme monarch of the Ottoman Empire, wielding ultimate political, military, and religious authority over its vast territories.
-
E.
Sultan
Sultan is a writer known for creating works under the pseudonym "2U."
- 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_69d87f221d8081909b0b2063e7528ba2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2460b22d88190bdc7cf509cf74198 |
completed | April 17, 2026, 2:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0017c0ef4c8190b44ac84f71b2ed41 |
completed | May 10, 2026, 5:29 a.m. |
Created at: April 10, 2026, 5:05 a.m.