Triple

T16159270
Position Surface form Disambiguated ID Type / Status
Subject Bursa İskender E392132 entity
Predicate eatenWith P3159 FINISHED
Object Turkish tea E441563 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: Turkish tea | Statement: [Bursa İskender, eatenWith, Turkish tea]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Turkish tea
Context triple: [Bursa İskender, eatenWith, Turkish tea]
  • A. Turkish tea chosen
    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.
  • B. Turkish coffee
    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.
  • 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. Tea
    Tea is a widely consumed beverage made by steeping processed leaves of the Camellia sinensis plant in hot water, known for its variety of flavors, caffeine content, and cultural significance worldwide.
  • E. Çay
    Çay is a small town and district in western Turkey’s Afyonkarahisar Province, known for its agricultural activities and local thermal springs.
  • 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_69d87f1c65e48190aa2b4c472e9bafc4 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21e5c9cd0819090e34ee163ffb118 completed April 17, 2026, 11:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff7b05a588190a44d1c922195a87b completed May 10, 2026, 3:12 a.m.
Created at: April 10, 2026, 5:01 a.m.