Triple

T10946961
Position Surface form Disambiguated ID Type / Status
Subject Jajce E258622 entity
Predicate locatedNearRiver P165 FINISHED
Object Vrbas River E370919 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: Vrbas River | Statement: [Jajce, locatedNearRiver, Vrbas River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vrbas River
Context triple: [Jajce, locatedNearRiver, Vrbas River]
  • A. Vrbas chosen
    Vrbas is a river in western Bosnia and Herzegovina that flows through cities like Banja Luka before joining the Sava River.
  • B. Vrbas
    Vrbas is a town and municipality in the Bačka region of northern Serbia, known as a local administrative, industrial, and transportation center.
  • C. Savica River
    The Savica River is a short but notable river in northwestern Slovenia, famous for its picturesque waterfall source in the Julian Alps and its role in feeding Lake Bohinj.
  • D. Bojana River
    The Bojana River is a major waterway in the Balkans that flows from Lake Skadar to the Adriatic Sea, forming part of the border between Montenegro and Albania.
  • E. Vanj River
    The Vanj River is a mountain river in Tajikistan that flows through the Vanj Valley in the Pamir region before joining the Panj River.
  • 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_69d6aa8769b4819082bfe5e61b9017f0 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770eaaea08190b06e508600d8a305 completed April 9, 2026, 9:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2d733f7d88190b45df5c155ff5a46 completed April 18, 2026, 12:58 a.m.
Created at: April 8, 2026, 9:23 p.m.