Triple

T2646112
Position Surface form Disambiguated ID Type / Status
Subject Ege University E62987 entity
Predicate locatedIn P40 FINISHED
Object Bornova, İzmir
Bornova, İzmir is a large district of the city of İzmir in western Turkey, known as an important residential, commercial, and educational hub.
E285095 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: Bornova, İzmir | Statement: [Ege University, locatedIn, Bornova, İzmir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bornova, İzmir
Context triple: [Ege University, locatedIn, Bornova, İzmir]
  • A. Yalova
    Yalova is a small coastal city in northwestern Turkey, known for its thermal springs, seaside promenade, and proximity to Istanbul across the Sea of Marmara.
  • B. Giresun, Turkey
    Giresun, Turkey is a Black Sea coastal city in northeastern Turkey known for its hazelnut production and lush, hilly landscape.
  • C. Arnavutköy
    Arnavutköy is a district on the European side of Istanbul, Turkey, known for its rapidly developing urban areas and hosting the city’s main international airport.
  • D. Medinaceli
    Medinaceli is a historic town in the province of Soria, Spain, known for its well-preserved medieval architecture and Roman heritage.
  • E. Trabzon
    Trabzon is a historic city in northeastern Turkey that serves as a major Black Sea port and regional cultural and commercial center.
  • 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: Bornova, İzmir
Triple: [Ege University, locatedIn, Bornova, İzmir]
Generated description
Bornova, İzmir is a large district of the city of İzmir in western Turkey, known as an important residential, commercial, and educational hub.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bornova, İzmir
Target entity description: Bornova, İzmir is a large district of the city of İzmir in western Turkey, known as an important residential, commercial, and educational hub.
  • A. Yalova
    Yalova is a small coastal city in northwestern Turkey, known for its thermal springs, seaside promenade, and proximity to Istanbul across the Sea of Marmara.
  • B. Giresun, Turkey
    Giresun, Turkey is a Black Sea coastal city in northeastern Turkey known for its hazelnut production and lush, hilly landscape.
  • C. Arnavutköy
    Arnavutköy is a district on the European side of Istanbul, Turkey, known for its rapidly developing urban areas and hosting the city’s main international airport.
  • D. Medinaceli
    Medinaceli is a historic town in the province of Soria, Spain, known for its well-preserved medieval architecture and Roman heritage.
  • E. Trabzon
    Trabzon is a historic city in northeastern Turkey that serves as a major Black Sea port and regional cultural and commercial center.
  • 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_69ab4c3f2dcc819082df80f5e032f690 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abd91846b4819093a063c15e1ee6af completed March 7, 2026, 7:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69af98c721b08190b380d3625126cb55 completed March 10, 2026, 4:06 a.m.
NEDg Description generation batch_69af996e93f08190ac4b8faa64fb0550 completed March 10, 2026, 4:09 a.m.
NED2 Entity disambiguation (via description) batch_69af99d58744819098633b2b51f7943e completed March 10, 2026, 4:11 a.m.
Created at: March 6, 2026, 9:53 p.m.