Triple

T7840478
Position Surface form Disambiguated ID Type / Status
Subject İzmir Province E181790 entity
Predicate contains P35 FINISHED
Object Ödemiş
Ödemiş is a town and district in western Turkey known for its agriculture and historical sites, located inland from the Aegean coast.
 E712013 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: Ödemiş | Statement: [İzmir Province, contains, Ödemiş]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ödemiş
Context triple: [İzmir Province, contains, Ödemiş]
  • A. Güzelyurt
    Güzelyurt is a town in the northwestern part of Cyprus, known for its citrus orchards and archaeological sites.
  • B. Kanık
    Kanık is the surname of the influential Turkish poet Orhan Veli Kanık, a leading figure in modern Turkish literature and the Garip movement.
  • C. Menemen
    Menemen is a district and town in İzmir Province, Turkey, known for its agricultural production and as part of the greater İzmir metropolitan area.
  • D. Bergama
    Bergama is a town in western Turkey known for encompassing the archaeological remains of the ancient city of Pergamon, a major Hellenistic and Roman cultural and political center.
  • E. Maltepe
    Maltepe is a residential and commercial district on Istanbul’s Asian side along the Sea of Marmara.
  • 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: Ödemiş
Triple: [İzmir Province, contains, Ödemiş]
Generated description
Ödemiş is a town and district in western Turkey known for its agriculture and historical sites, located inland from the Aegean coast.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ödemiş
Target entity description: Ödemiş is a town and district in western Turkey known for its agriculture and historical sites, located inland from the Aegean coast.
  • A. Güzelyurt
    Güzelyurt is a town in the northwestern part of Cyprus, known for its citrus orchards and archaeological sites.
  • B. Kanık
    Kanık is the surname of the influential Turkish poet Orhan Veli Kanık, a leading figure in modern Turkish literature and the Garip movement.
  • C. Menemen
    Menemen is a district and town in İzmir Province, Turkey, known for its agricultural production and as part of the greater İzmir metropolitan area.
  • D. Bergama
    Bergama is a town in western Turkey known for encompassing the archaeological remains of the ancient city of Pergamon, a major Hellenistic and Roman cultural and political center.
  • E. Maltepe
    Maltepe is a residential and commercial district on Istanbul’s Asian side along the Sea of Marmara.
  • 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_69ca8285d6488190a95d4c02d7354b53 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb14c589748190b34d0911d373e194 completed March 31, 2026, 12:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc9340c99c819085294de7466f40eb completed April 1, 2026, 3:38 a.m.
NEDg Description generation batch_69cc955542fc8190a84be60f4efea915 completed April 1, 2026, 3:47 a.m.
NED2 Entity disambiguation (via description) batch_69cc964c6b308190ae121072b1180268 completed April 1, 2026, 3:51 a.m.
Created at: March 30, 2026, 4:47 p.m.