Triple

T10501169
Position Surface form Disambiguated ID Type / Status
Subject Sümeyye Erdoğan E247675 entity
Predicate givenName P17 FINISHED
Object Sümeyye E247675 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: Sümeyye | Statement: [Sümeyye Erdoğan, givenName, Sümeyye]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sümeyye
Context triple: [Sümeyye Erdoğan, givenName, Sümeyye]
  • A. Sümeyye chosen
    Sümeyye is the given name of Sümeyye Erdoğan, the daughter of Turkish President Recep Tayyip Erdoğan and a public figure in Turkey.
  • B. Hafsa Hatun
    Hafsa Hatun was an Ottoman-era woman of notable status who is interred in the famed Yeşil Türbe (Green Tomb) in Bursa, Turkey.
  • C. Ayşe
    Ayşe is a common Turkish female given name of Arabic origin, widely used across Turkey and among Turkish communities.
  • D. Mihrişah Kadın
    Mihrişah Kadın was an 18th-century Ottoman imperial consort and influential mother of Sultan Mustafa III.
  • E. Rabia Bala Hatun
    Rabia Bala Hatun was a prominent early Ottoman figure traditionally regarded as the wife of Osman I and the daughter of Sheikh Edebali, symbolizing the alliance between emerging Ottoman leadership and influential religious authority.
  • 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_69d381c4aa948190942e1d803143fb0e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5099b797c8190a94803fa94eb6981 completed April 7, 2026, 1:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8dccec72481909bcfb6a9c5df7ba9 completed April 10, 2026, 11:19 a.m.
Created at: April 6, 2026, 12:25 p.m.