Triple

T16273533
Position Surface form Disambiguated ID Type / Status
Subject Şehzade Mahmud E395062 entity
Predicate honorificPrefix P536 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, honorificPrefix, Şehzade]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Şehzade
Context triple: [Şehzade Mahmud, honorificPrefix, 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_6a001f90d4088190915d701978f018a5 completed May 10, 2026, 6:02 a.m.
Created at: April 10, 2026, 5:05 a.m.