Triple

T12213614
Position Surface form Disambiguated ID Type / Status
Subject Rybinsk E291027 entity
Predicate hasRailwayConnectionTo P3791 FINISHED
Object Bologoye E280199 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: Bologoye | Statement: [Rybinsk, hasRailwayConnectionTo, Bologoye]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bologoye
Context triple: [Rybinsk, hasRailwayConnectionTo, Bologoye]
  • A. Bologoye chosen
    Bologoye is a small town in western Russia known as a railway junction and transport hub between Moscow and St. Petersburg.
  • B. Biloela
    Biloela is a rural town in Queensland, Australia, known as an agricultural and administrative centre for the surrounding Central Queensland region.
  • C. Bol
    Bol is a coastal town on the southern coast of the Croatian island of Brač, known for its famous Zlatni Rat beach and tourism.
  • D. Bonalu
    Bonalu is a traditional Hindu folk festival of Telangana centered on the worship of the goddess Mahakali, marked by colorful processions, ritual offerings, and regional music and dance.
  • E. Bosha
    Bosha is an alternative name for the Lom people, a Romani-related ethnic group primarily found in the Caucasus region.
  • 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_69d6ab65923081909acfc61b7a612233 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91c931cec819083ca19be06a33e1c completed April 10, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e5882408190b4853f3a11c249c2 completed May 2, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:51 p.m.