Triple

T5491940
Position Surface form Disambiguated ID Type / Status
Subject Asian Turkey E123721 entity
Predicate containsCity P294 FINISHED
Object Ordu
Ordu is a coastal city on the Black Sea in northern Turkey, known for its hazelnut production and scenic seaside setting.
 E524849 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: Ordu | Statement: [Asian Turkey, containsCity, Ordu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ordu
Context triple: [Asian Turkey, containsCity, Ordu]
  • A. 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.
  • B. Karabük
    Karabük is an industrial city in northern Turkey best known for its historic iron and steel industry and its proximity to the UNESCO-listed Ottoman town of Safranbolu.
  • C. Çorlu
    Çorlu is a town in Turkey’s Tekirdağ Province in Eastern Thrace, historically notable as the place where Ottoman Sultan Selim I died.
  • D. Uşak
    Uşak is a city in western Turkey known for its role in the Turkish War of Independence and its traditional carpet and textile production.
  • E. Kanık
    Kanık is the surname of the influential Turkish poet Orhan Veli Kanık, a leading figure in modern Turkish literature and the Garip movement.
  • 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: Ordu
Triple: [Asian Turkey, containsCity, Ordu]
Generated description
Ordu is a coastal city on the Black Sea in northern Turkey, known for its hazelnut production and scenic seaside setting.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ordu
Target entity description: Ordu is a coastal city on the Black Sea in northern Turkey, known for its hazelnut production and scenic seaside setting.
  • A. 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.
  • B. Karabük
    Karabük is an industrial city in northern Turkey best known for its historic iron and steel industry and its proximity to the UNESCO-listed Ottoman town of Safranbolu.
  • C. Çorlu
    Çorlu is a town in Turkey’s Tekirdağ Province in Eastern Thrace, historically notable as the place where Ottoman Sultan Selim I died.
  • D. Uşak
    Uşak is a city in western Turkey known for its role in the Turkish War of Independence and its traditional carpet and textile production.
  • E. Kanık
    Kanık is the surname of the influential Turkish poet Orhan Veli Kanık, a leading figure in modern Turkish literature and the Garip movement.
  • 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_69bd464a2d908190869324ce176779c8 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd9280403c8190baaa3f7923449a37 completed March 20, 2026, 6:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf7fdc7cb08190b0e5b7321213f673 completed March 22, 2026, 5:36 a.m.
NEDg Description generation batch_69bf80d32824819096d3f27890d9706f completed March 22, 2026, 5:40 a.m.
NED2 Entity disambiguation (via description) batch_69bf812aa5408190be1365313ab67135 completed March 22, 2026, 5:42 a.m.
Created at: March 20, 2026, 2:10 p.m.