Triple

T16280057
Position Surface form Disambiguated ID Type / Status
Subject Kula E395239 entity
Predicate locatedNear P294 FINISHED
Object Vrbas NE NERFINISHED

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: Vrbas | Statement: [Kula, locatedNear, Vrbas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vrbas
Context triple: [Kula, locatedNear, Vrbas]
  • A. Vrbas chosen
    Vrbas is a town and municipality in the Bačka region of northern Serbia, known as a local administrative, industrial, and transportation center.
  • B. Vrbas
    Vrbas is a river in western Bosnia and Herzegovina that flows through cities like Banja Luka before joining the Sava River.
  • C. Moravica
    Moravica is a river in central Serbia that serves as a significant left-bank tributary of the West Morava.
  • D. Drnica
    Drnica is a small tributary stream of the Dragonja River in the southwestern part of the Istrian Peninsula.
  • E. Kosava
    Kosava is a small town in western Belarus known for its historic castle and as the birthplace region of Polish national hero Tadeusz Kościuszko.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d87f22c7248190a54c949738441e2e completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e24611926c81909b276ca3f406f15d completed April 17, 2026, 2:39 p.m.
Created at: April 10, 2026, 5:05 a.m.