Triple

T19173386
Position Surface form Disambiguated ID Type / Status
Subject Rabia Bala Hatun E469381 entity
Predicate residence P75 FINISHED
Object Söğüt 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: Söğüt | Statement: [Rabia Bala Hatun, residence, Söğüt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Söğüt
Context triple: [Rabia Bala Hatun, residence, Söğüt]
  • A. Söğüt chosen
    Söğüt is a historic town in northwestern Turkey renowned as the early center of the Ottoman beylik and the birthplace of the Ottoman Empire.
  • B. Söğütözü
    Söğütözü is a modern business and commercial district in Ankara, Turkey, known for its high-rise offices, shopping centers, and proximity to key government areas.
  • C. Suşehri
    Suşehri is a town and district in northeastern Turkey known for its location within Sivas Province and its surrounding mountainous landscape.
  • D. Menemen
    Menemen is a district and town in İzmir Province, Turkey, known for its agricultural production and as part of the greater İzmir metropolitan area.
  • E. Menemen
    Menemen is a traditional Turkish dish of eggs softly scrambled with tomatoes, peppers, and olive oil, often enjoyed for breakfast with bread.
  • 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_69d8dd09d5a081909ae43c286651ae5a completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5f16544948190bd10ca7804dd27a5 completed April 20, 2026, 9:27 a.m.
Created at: April 10, 2026, 12:06 p.m.