Triple

T19421844
Position Surface form Disambiguated ID Type / Status
Subject Someș River E485873 entity
Predicate majorTributary P415 FINISHED
Object Someșul Mic 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: Someșul Mic | Statement: [Someș River, majorTributary, Someșul Mic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Someșul Mic
Context triple: [Someș River, majorTributary, Someșul Mic]
  • A. Someșul Mic chosen
    Someșul Mic is a river in northwestern Romania that flows through the city of Cluj-Napoca and forms part of the Someș River system.
  • B. Someșul Mare
    Someșul Mare is a river in northwestern Romania that forms one of the main headwaters of the Someș (Szamos) River.
  • C. Măgurele
    Măgurele is a town in southern Romania known for its scientific research institutes and proximity to Bucharest.
  • D. Reșița
    Reșița is an industrial city in western Romania, historically known as a major center of steel production and engineering in the Banat region.
  • E. Vulcănești
    Vulcănești is a town in southern Moldova that serves as one of the key urban centers of the autonomous region of Gagauzia.
  • 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_69d8e8d688f881909c85104a62e09d8a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e632159d7081909d004544ec5992c0 completed April 20, 2026, 2:03 p.m.
Created at: April 10, 2026, 1:37 p.m.