Triple

T17047845
Position Surface form Disambiguated ID Type / Status
Subject Çeşme E413615 entity
Predicate hasSubregion P285 FINISHED
Object Alaçatı
Alaçatı is a picturesque Aegean town in western Turkey famed for its stone houses, narrow cobbled streets, boutique hotels, and excellent windsurfing conditions.
 E1252377 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: Alaçatı | Statement: [Çeşme, hasSubregion, Alaçatı]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Alaçatı
Context triple: [Çeşme, hasSubregion, Alaçatı]
  • A. Güzelyurt
    Güzelyurt is a town in the northwestern part of Cyprus, known for its citrus orchards and archaeological sites.
  • B. Güzelyurt
    Güzelyurt is a historic town in Turkey’s Cappadocia region, known for its rock-cut churches, underground cities, and scenic valleys.
  • C. Suşehri
    Suşehri is a town and district in northeastern Turkey known for its location within Sivas Province and its surrounding mountainous landscape.
  • D. Çatalca
    Çatalca is a rural district on the western outskirts of Istanbul, known for its forests, farmland, and historical fortifications forming part of the city’s traditional land defenses.
  • E. Aliağa
    Aliağa is a coastal industrial district and port town in İzmir Province, Turkey, known for its petrochemical facilities and ship-breaking yards.
  • 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: Alaçatı
Triple: [Çeşme, hasSubregion, Alaçatı]
Generated description
Alaçatı is a picturesque Aegean town in western Turkey famed for its stone houses, narrow cobbled streets, boutique hotels, and excellent windsurfing conditions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Alaçatı
Target entity description: Alaçatı is a picturesque Aegean town in western Turkey famed for its stone houses, narrow cobbled streets, boutique hotels, and excellent windsurfing conditions.
  • A. Güzelyurt
    Güzelyurt is a town in the northwestern part of Cyprus, known for its citrus orchards and archaeological sites.
  • B. Güzelyurt
    Güzelyurt is a historic town in Turkey’s Cappadocia region, known for its rock-cut churches, underground cities, and scenic valleys.
  • C. Suşehri
    Suşehri is a town and district in northeastern Turkey known for its location within Sivas Province and its surrounding mountainous landscape.
  • D. Çatalca
    Çatalca is a rural district on the western outskirts of Istanbul, known for its forests, farmland, and historical fortifications forming part of the city’s traditional land defenses.
  • E. Aliağa
    Aliağa is a coastal industrial district and port town in İzmir Province, Turkey, known for its petrochemical facilities and ship-breaking yards.
  • 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_69d886cd18288190b006abab23f811b7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3da9f799c8190a683ae38cd990643 completed April 18, 2026, 7:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01413eba788190982351a97286e81f completed May 11, 2026, 2:38 a.m.
NEDg Description generation batch_6a01427966b48190ab7cbdaa139f6fbc completed May 11, 2026, 2:44 a.m.
NED2 Entity disambiguation (via description) batch_6a0142ff1c84819093604fe074f37660 completed May 11, 2026, 2:46 a.m.
Created at: April 10, 2026, 5:34 a.m.