Triple

T11535931
Position Surface form Disambiguated ID Type / Status
Subject Emine Sevgi Özdamar E273546 entity
Predicate familyName P18 FINISHED
Object Özdamar E273546 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: Özdamar | Statement: [Emine Sevgi Özdamar, familyName, Özdamar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Özdamar
Context triple: [Emine Sevgi Özdamar, familyName, Özdamar]
  • A. Özdamar chosen
    Özdamar is the surname of Emine Sevgi Özdamar, a prominent Turkish-German writer, actress, and director known for her works on migration and cultural identity.
  • B. Dursunbey
    Dursunbey is a town and district in western Turkey known for its forestry, timber production, and rural character within Balıkesir Province.
  • C. Gürbulak
    Gürbulak is a Turkish border village and crossing point on the frontier with Iran, serving as a key gateway between the two countries.
  • D. Kaynarca
    Kaynarca is a small town and district in northwestern Turkey, located within Sakarya Province and known for its rural character and agricultural activities.
  • E. Güzelyurt
    Güzelyurt is a town in the northwestern part of Cyprus, known for its citrus orchards and archaeological sites.
  • 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_69d6aae3fbec8190a14632a5df2538b6 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8839b4bb48190b748ec4119f36c11 completed April 10, 2026, 4:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69e6858af0d081909078d5862ec3d469 completed April 20, 2026, 7:59 p.m.
Created at: April 8, 2026, 9:37 p.m.