Triple

T6354354
Position Surface form Disambiguated ID Type / Status
Subject Ottoman Beylik E142953 entity
Predicate hasPart P35 FINISHED
Object Yenişehir
Yenişehir is a historic town in northwestern Turkey that served as an early administrative and military center for the emerging Ottoman state.
 E395064 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: Yenişehir | Statement: [Ottoman Beylik, hasPart, Yenişehir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yenişehir
Context triple: [Ottoman Beylik, hasPart, Yenişehir]
  • A. Yenişehir
    Yenişehir is a district and town in Bursa Province in northwestern Turkey, known for its agricultural production and regional airport serving the Bursa area.
  • B. Muratpaşa
    Muratpaşa is a central district and municipality of the city of Antalya in southern Turkey, known for its coastal location and urban, touristic character.
  • 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. Kanık
    Kanık is the surname of the influential Turkish poet Orhan Veli Kanık, a leading figure in modern Turkish literature and the Garip movement.
  • 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: Yenişehir
Triple: [Ottoman Beylik, hasPart, Yenişehir]
Generated description
Yenişehir is a historic town in northwestern Turkey that served as an early administrative and military center for the emerging Ottoman state.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yenişehir
Target entity description: Yenişehir is a historic town in northwestern Turkey that served as an early administrative and military center for the emerging Ottoman state.
  • A. Yenişehir chosen
    Yenişehir is a district and town in Bursa Province in northwestern Turkey, known for its agricultural production and regional airport serving the Bursa area.
  • B. Muratpaşa
    Muratpaşa is a central district and municipality of the city of Antalya in southern Turkey, known for its coastal location and urban, touristic character.
  • 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. Kanık
    Kanık is the surname of the influential Turkish poet Orhan Veli Kanık, a leading figure in modern Turkish literature and the Garip movement.
  • 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.

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_69c008d6dcbc8190aa1c2f1fd8916b42 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c067e0cf1081908ee7e83b9dcf740e completed March 22, 2026, 10:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6045e03e88190a8607e5d73c812bc completed March 27, 2026, 4:15 a.m.
NEDg Description generation batch_69c6057466ec8190afe96107862bb40a completed March 27, 2026, 4:20 a.m.
NED2 Entity disambiguation (via description) batch_69c6060a113881909b424d0c47c2107e completed March 27, 2026, 4:22 a.m.
Created at: March 22, 2026, 4:31 p.m.