Triple

T6964267
Position Surface form Disambiguated ID Type / Status
Subject Sabiha Gökçen E161447 entity
Predicate familyName P18 FINISHED
Object Gökçen
Gökçen is a Turkish surname most famously borne by Sabiha Gökçen, one of the world’s first female fighter pilots and an adopted daughter of Mustafa Kemal Atatürk.
 E633142 NE FINISHED

How this triple was built (4 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: Gökçen | Statement: [Sabiha Gökçen, familyName, Gökçen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gökçen
Context triple: [Sabiha Gökçen, familyName, Gökçen]
  • A. Gölbaşı
    Gölbaşı is a district and suburban area of Ankara in central Turkey, known for its lakes, recreational areas, and proximity to the capital city.
  • B. Keçiören
    Keçiören is a densely populated metropolitan district and municipality of Ankara, known as one of the capital city’s major residential and commercial areas.
  • C. Karaköy
    Karaköy is a historic waterfront neighborhood in Istanbul known for its bustling port, cafes, and mix of traditional and modern urban life.
  • D. Gölcük
    Gölcük is a coastal town and district in northwestern Turkey, situated on the Gulf of İzmit and known for its naval base and shipyard.
  • E. Doğanhisar
    Doğanhisar is a rural district and town in central Turkey known for its agricultural economy and location within the Konya region.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Gökçen
Triple: [Sabiha Gökçen, familyName, Gökçen]
Generated description
Gökçen is a Turkish surname most famously borne by Sabiha Gökçen, one of the world’s first female fighter pilots and an adopted daughter of Mustafa Kemal Atatürk.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gökçen
Target entity description: Gökçen is a Turkish surname most famously borne by Sabiha Gökçen, one of the world’s first female fighter pilots and an adopted daughter of Mustafa Kemal Atatürk.
  • A. Gölbaşı
    Gölbaşı is a district and suburban area of Ankara in central Turkey, known for its lakes, recreational areas, and proximity to the capital city.
  • B. Keçiören
    Keçiören is a densely populated metropolitan district and municipality of Ankara, known as one of the capital city’s major residential and commercial areas.
  • C. Karaköy
    Karaköy is a historic waterfront neighborhood in Istanbul known for its bustling port, cafes, and mix of traditional and modern urban life.
  • D. Gölcük
    Gölcük is a coastal town and district in northwestern Turkey, situated on the Gulf of İzmit and known for its naval base and shipyard.
  • E. Doğanhisar
    Doğanhisar is a rural district and town in central Turkey known for its agricultural economy and location within the Konya region.
  • F. None of above. chosen

Provenance (5 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_69c68853cff881908439d488924a8283 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6daf2b7bc8190a3e73f3b24f0352b completed March 27, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c761908564819084505f0ab1122a9c completed March 28, 2026, 5:05 a.m.
NEDg Description generation batch_69c76343aee0819098177ef2e5f833db completed March 28, 2026, 5:12 a.m.
NED2 Entity disambiguation (via description) batch_69c763eb69408190b7caa188ce13646e completed March 28, 2026, 5:15 a.m.
Created at: March 27, 2026, 2:30 p.m.