Triple

T20132890
Position Surface form Disambiguated ID Type / Status
Subject Mehmed Selim E490941 entity
Predicate nobleTitle P914 FINISHED
Object Şehzade 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: Şehzade | Statement: [Mehmed Selim, nobleTitle, Şehzade]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Şehzade
Context triple: [Mehmed Selim, nobleTitle, 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. Dunyazad
    Dunyazad is a character in the collection of Middle Eastern folk tales known as One Thousand and One Nights, traditionally depicted as the younger sister of Scheherazade.
  • D. Şahmerdan
    Şahmerdan is a short story collection by renowned Turkish writer Sait Faik Abasıyanık, reflecting his modernist style and focus on everyday Istanbul life.
  • E. Sultan
    The Sultan was the supreme monarch of the Ottoman Empire, wielding ultimate political, military, and religious authority over its vast territories.
  • 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_69da62651a0c8190a3e05e95e056a66b completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e66763ee908190af64af31b4ca2377 completed April 20, 2026, 5:50 p.m.
Created at: April 11, 2026, 11:32 p.m.