Triple

T5491992
Position Surface form Disambiguated ID Type / Status
Subject Asian Turkey E123721 entity
Predicate containsCity P294 FINISHED
Object Foça
Foça is a coastal town in western Turkey on the Aegean Sea, known for its historic harbor, ancient ruins, and traditional stone houses.
 E524141 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: Foça | Statement: [Asian Turkey, containsCity, Foça]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Foça
Context triple: [Asian Turkey, containsCity, Foça]
  • A. Foody
    Foody is the anthropomorphic, fruit-and-vegetable-themed character that served as the official mascot of Expo 2015 in Milan.
  • B. Foyle
    Foyle is a parliamentary constituency in Northern Ireland centered on the city of Derry/Londonderry.
  • C. Fu
    Fu is a Chinese surname borne by various notable historical and contemporary figures across politics, arts, and other fields.
  • D. Flo
    Flo was one of Jane Goodall’s most famous Gombe chimpanzees, known as a highly influential matriarch whose life and family were central to long-term studies of chimpanzee behavior and social structure.
  • E. Flo
    Flo is a supporting character in Pixar's "Cars" franchise, known as the stylish turquoise show car who runs Flo's V8 Café in Radiator Springs.
  • 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: Foça
Triple: [Asian Turkey, containsCity, Foça]
Generated description
Foça is a coastal town in western Turkey on the Aegean Sea, known for its historic harbor, ancient ruins, and traditional stone houses.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Foça
Target entity description: Foça is a coastal town in western Turkey on the Aegean Sea, known for its historic harbor, ancient ruins, and traditional stone houses.
  • A. Foody
    Foody is the anthropomorphic, fruit-and-vegetable-themed character that served as the official mascot of Expo 2015 in Milan.
  • B. Foyle
    Foyle is a parliamentary constituency in Northern Ireland centered on the city of Derry/Londonderry.
  • C. Fu
    Fu is a Chinese surname borne by various notable historical and contemporary figures across politics, arts, and other fields.
  • D. Flo
    Flo was one of Jane Goodall’s most famous Gombe chimpanzees, known as a highly influential matriarch whose life and family were central to long-term studies of chimpanzee behavior and social structure.
  • E. Flo
    Flo is a supporting character in Pixar's "Cars" franchise, known as the stylish turquoise show car who runs Flo's V8 Café in Radiator Springs.
  • 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_69bf6c8fb5688190b29f27ce13324943 completed March 22, 2026, 4:14 a.m.
NEDg Description generation batch_69bf6d7d2ff48190acee9baab4d54ef2 completed March 22, 2026, 4:18 a.m.
NED2 Entity disambiguation (via description) batch_69bf6e62f03481908fbbeb931defcc05 completed March 22, 2026, 4:21 a.m.
Created at: March 20, 2026, 2:10 p.m.