Triple

T9786178
Position Surface form Disambiguated ID Type / Status
Subject TurkishCuisine E237494 entity
Predicate typicalBeverage P4038 FINISHED
Object TurkishCoffee E722941 NE FINISHED

How this triple was built (2 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: TurkishCoffee | Statement: [TurkishCuisine, typicalBeverage, TurkishCoffee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TurkishCoffee
Context triple: [TurkishCuisine, typicalBeverage, TurkishCoffee]
  • A. Turkish coffee chosen
    Turkish coffee is a traditional Middle Eastern coffee preparation known for its finely ground beans, unfiltered brewing method, and strong, thick, and aromatic character often served with foam in small cups.
  • B. Turkish tea
    Turkish tea is a strong, black tea traditionally brewed in a double teapot and served in small tulip-shaped glasses, central to daily social life and hospitality in Turkey.
  • C. Çubuk Çayı
    Çubuk Çayı is a stream in the Ankara Province of Turkey that flows through the town of Çubuk and contributes to the region’s water resources and local agriculture.
  • D. Café au Lait
    Café au Lait is one of the short, conversational vignettes in Jim Jarmusch’s film "Coffee and Cigarettes," featuring characters chatting over coffee in a minimalist, black-and-white setting.
  • E. Caffe
    Caffe is an open-source deep learning framework known for its speed and modular design, widely used in computer vision research and applications.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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.
Created at: March 30, 2026, 8:27 p.m.