Triple

T15338816
Position Surface form Disambiguated ID Type / Status
Subject Drau E366735 entity
Predicate hasMajorTributary P415 FINISHED
Object Karašica E370014 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: Karašica | Statement: [Drau, hasMajorTributary, Karašica]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karašica
Context triple: [Drau, hasMajorTributary, Karašica]
  • A. Karašica chosen
    Karašica is a river in Croatia that flows through the Slavonia region before joining the Drava River.
  • B. Čukarica
    Čukarica is a municipality of Belgrade known for its mix of urban neighborhoods, industrial zones, and green areas along the Sava River.
  • C. Gračanica
    Gračanica is a town in central Kosovo known for its significant Serbian cultural and religious heritage, including the medieval Gračanica Monastery.
  • D. Smederevska Palanka
    Smederevska Palanka is a town and municipality in central Serbia known for its industrial heritage and role as a regional administrative and economic center.
  • E. Peć
    Peć is a historic town in western Kosovo renowned as the medieval spiritual seat of the Serbian Orthodox Church, centered around the Patriarchate of Peć monastery complex.
  • 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_69d85a1355608190a6673ddb67231d54 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e12eb7c8190944a260aa1aa9156 completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4544d5008190ba479a6c56cedc20 completed May 9, 2026, 2:31 p.m.
Created at: April 10, 2026, 3:17 a.m.