Triple

T9786164
Position Surface form Disambiguated ID Type / Status
Subject TurkishCuisine E237494 entity
Predicate typicalDish P19483 FINISHED
Object Cacik
Cacik is a traditional Turkish cold yogurt and cucumber dish, often seasoned with garlic, herbs, and olive oil and served as a refreshing side or meze.
 E820759 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: Cacik | Statement: [TurkishCuisine, typicalDish, Cacik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cacik
Context triple: [TurkishCuisine, typicalDish, Cacik]
  • A. Kapon
    Kapon is an indigenous language (also known as Akawaio) spoken by the Akawaio people of the Guiana Highlands in northern South America.
  • B. Kotek
    Kotek is the surname of Tina Kotek, an American politician who has served as Governor of Oregon and previously as Speaker of the Oregon House of Representatives.
  • C. Tigak
    Tigak is an Austronesian language of the Meso-Melanesian subgroup spoken primarily in parts of Papua New Guinea.
  • D. Kukulkan
    Kukulkan is a major feathered serpent deity of the Maya, closely associated with wind, rain, and creation, and identified with the Aztec god Quetzalcoatl.
  • E. Sukki
    Sukki is one of the four snowman mascots created to represent the 1998 Winter Olympics in Nagano, Japan.
  • 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: Cacik
Triple: [TurkishCuisine, typicalDish, Cacik]
Generated description
Cacik is a traditional Turkish cold yogurt and cucumber dish, often seasoned with garlic, herbs, and olive oil and served as a refreshing side or meze.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cacik
Target entity description: Cacik is a traditional Turkish cold yogurt and cucumber dish, often seasoned with garlic, herbs, and olive oil and served as a refreshing side or meze.
  • A. Kapon
    Kapon is an indigenous language (also known as Akawaio) spoken by the Akawaio people of the Guiana Highlands in northern South America.
  • B. Kotek
    Kotek is the surname of Tina Kotek, an American politician who has served as Governor of Oregon and previously as Speaker of the Oregon House of Representatives.
  • C. Tigak
    Tigak is an Austronesian language of the Meso-Melanesian subgroup spoken primarily in parts of Papua New Guinea.
  • D. Kukulkan
    Kukulkan is a major feathered serpent deity of the Maya, closely associated with wind, rain, and creation, and identified with the Aztec god Quetzalcoatl.
  • E. Sukki
    Sukki is one of the four snowman mascots created to represent the 1998 Winter Olympics in Nagano, Japan.
  • 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_69ca84da927881909bda80caecad6010 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda2107f688190b2cab1509c508319 completed April 1, 2026, 10:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c4235ae88190aefaa6d9b63031e0 completed April 5, 2026, 2:08 a.m.
NEDg Description generation batch_69d1c477c9c48190b08f4871955d4450 completed April 5, 2026, 2:09 a.m.
NED2 Entity disambiguation (via description) batch_69d1c520d3988190b7735f6d16e78ab5 completed April 5, 2026, 2:12 a.m.
Created at: March 30, 2026, 8:27 p.m.