Triple

T10172119
Position Surface form Disambiguated ID Type / Status
Subject Beştepe E235355 entity
Predicate near P350 FINISHED
Object 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.
 E846057 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: Söğütözü | Statement: [Beştepe, near, Söğütözü]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Söğütözü
Context triple: [Beştepe, near, Söğütözü]
  • A. Söğüt
    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. Söğütlü
    Söğütlü is a small town and district located in Turkey’s northwestern Sakarya Province.
  • C. Söğütlüçeşme
    Söğütlüçeşme is a neighborhood and major transport hub on Istanbul’s Asian side, known especially for its Marmaray and metrobus connections.
  • D. Kurukdere
    Kurukdere is a locality in present-day eastern Turkey known primarily as the site of a significant battle during the Crimean War between Russian and Ottoman forces.
  • E. 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.
  • 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: Söğütözü
Triple: [Beştepe, near, Söğütözü]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Söğütözü
Target entity description: 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.
  • A. Söğüt
    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. Söğütlü
    Söğütlü is a small town and district located in Turkey’s northwestern Sakarya Province.
  • C. Söğütlüçeşme
    Söğütlüçeşme is a neighborhood and major transport hub on Istanbul’s Asian side, known especially for its Marmaray and metrobus connections.
  • D. Kurukdere
    Kurukdere is a locality in present-day eastern Turkey known primarily as the site of a significant battle during the Crimean War between Russian and Ottoman forces.
  • E. 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.
  • 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_69ca84ceafd0819085828600e11bed6b completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdec9e4e0c819097dceb7bf7757948 completed April 2, 2026, 4:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d30101e3ec819095a587c0dae55f71 completed April 6, 2026, 12:40 a.m.
NEDg Description generation batch_69d30255c7408190a56764f3d3f36ee2 completed April 6, 2026, 12:46 a.m.
NED2 Entity disambiguation (via description) batch_69d30343f4b081909eb80c772f6847bd completed April 6, 2026, 12:50 a.m.
Created at: March 30, 2026, 9:10 p.m.