Triple

T1682879
Position Surface form Disambiguated ID Type / Status
Subject Ploiești E36375 entity
Predicate twinnedWith P1072 FINISHED
Object Akçakoca
Akçakoca is a coastal town and district on Turkey’s Black Sea shore, known for its beaches, hazelnut production, and tourism.
 E207390 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: Akçakoca | Statement: [Ploiești, twinnedWith, Akçakoca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Akçakoca
Context triple: [Ploiești, twinnedWith, Akçakoca]
  • A. Karaköy
    Karaköy is a historic waterfront neighborhood in Istanbul known for its bustling port, cafes, and mix of traditional and modern urban life.
  • B. Konyaaltı
    Konyaaltı is a coastal district of Antalya in southern Turkey, known for its long pebble beach, tourism facilities, and proximity to the Taurus Mountains.
  • 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. Selamlık
    Selamlık is the section of an Ottoman palace traditionally reserved for men, official ceremonies, and state affairs.
  • E. Medinaceli
    Medinaceli is a historic town in the province of Soria, Spain, known for its well-preserved medieval architecture and Roman heritage.
  • 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: Akçakoca
Triple: [Ploiești, twinnedWith, Akçakoca]
Generated description
Akçakoca is a coastal town and district on Turkey’s Black Sea shore, known for its beaches, hazelnut production, and tourism.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Akçakoca
Target entity description: Akçakoca is a coastal town and district on Turkey’s Black Sea shore, known for its beaches, hazelnut production, and tourism.
  • A. Karaköy
    Karaköy is a historic waterfront neighborhood in Istanbul known for its bustling port, cafes, and mix of traditional and modern urban life.
  • B. Konyaaltı
    Konyaaltı is a coastal district of Antalya in southern Turkey, known for its long pebble beach, tourism facilities, and proximity to the Taurus Mountains.
  • 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. Selamlık
    Selamlık is the section of an Ottoman palace traditionally reserved for men, official ceremonies, and state affairs.
  • E. Medinaceli
    Medinaceli is a historic town in the province of Soria, Spain, known for its well-preserved medieval architecture and Roman heritage.
  • 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_69a886139ed081909af0940aa9313512 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa627ab38081909d5f264ca49e036a completed March 6, 2026, 5:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69add1afd1ac8190862ca355eec09e4a completed March 8, 2026, 7:44 p.m.
NEDg Description generation batch_69add25c9c208190a576cf1123c0a2e6 completed March 8, 2026, 7:47 p.m.
NED2 Entity disambiguation (via description) batch_69add32803a48190b8ff08c605790f22 completed March 8, 2026, 7:51 p.m.
Created at: March 4, 2026, 7:29 p.m.