Triple

T12739575
Position Surface form Disambiguated ID Type / Status
Subject Karşıyaka E304452 entity
Predicate hasNeighbourhood P4813 FINISHED
Object Demirköprü
Demirköprü is a neighborhood within the Karşıyaka district of İzmir, Turkey.
E1071827 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: Demirköprü | Statement: [Karşıyaka, hasNeighbourhood, Demirköprü]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Demirköprü
Context triple: [Karşıyaka, hasNeighbourhood, Demirköprü]
  • A. Kemalpaşa
    Kemalpaşa is a district and town in western Turkey known for its cherry production and proximity to the city of İzmir.
  • B. Gölbaşı
    Gölbaşı is a district and suburban area of Ankara in central Turkey, known for its lakes, recreational areas, and proximity to the capital city.
  • C. Aydıncık
    Aydıncık is a coastal town and district in southern Turkey known for its Mediterranean shoreline and location within Mersin Province.
  • D. Güzelyurt
    Güzelyurt is a historic town in Turkey’s Cappadocia region, known for its rock-cut churches, underground cities, and scenic valleys.
  • E. Güzelyurt
    Güzelyurt is a town in the northwestern part of Cyprus, known for its citrus orchards and archaeological sites.
  • 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: Demirköprü
Triple: [Karşıyaka, hasNeighbourhood, Demirköprü]
Generated description
Demirköprü is a neighborhood within the Karşıyaka district of İzmir, Turkey.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Demirköprü
Target entity description: Demirköprü is a neighborhood within the Karşıyaka district of İzmir, Turkey.
  • A. Kemalpaşa
    Kemalpaşa is a district and town in western Turkey known for its cherry production and proximity to the city of İzmir.
  • B. Gölbaşı
    Gölbaşı is a district and suburban area of Ankara in central Turkey, known for its lakes, recreational areas, and proximity to the capital city.
  • C. Aydıncık
    Aydıncık is a coastal town and district in southern Turkey known for its Mediterranean shoreline and location within Mersin Province.
  • D. Güzelyurt
    Güzelyurt is a town in the northwestern part of Cyprus, known for its citrus orchards and archaeological sites.
  • E. Güzelyurt
    Güzelyurt is a historic town in Turkey’s Cappadocia region, known for its rock-cut churches, underground cities, and scenic valleys.
  • 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_69d7bdf1426c8190a4402e1c4cdec33a completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9646dfc908190bc398935d1d23537 completed April 10, 2026, 8:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69fba1ad4cc48190a680652efa3ab463 completed May 6, 2026, 8:16 p.m.
NEDg Description generation batch_69fba5918348819084fa4235eec6eee0 completed May 6, 2026, 8:33 p.m.
NED2 Entity disambiguation (via description) batch_69fba6b5e4f4819088e8a0629e17e4cc completed May 6, 2026, 8:38 p.m.
Created at: April 9, 2026, 5:26 p.m.