Triple

T21280586
Position Surface form Disambiguated ID Type / Status
Subject Razdan River E524509 entity
Predicate hasBridge P386 FINISHED
Object Davtashen Bridge 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: Davtashen Bridge | Statement: [Razdan River, hasBridge, Davtashen Bridge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Davtashen Bridge
Context triple: [Razdan River, hasBridge, Davtashen Bridge]
  • A. Davtashen Bridge chosen
    Davtashen Bridge is a major road bridge in Yerevan, Armenia, known for connecting the Davtashen district with the rest of the city across the Hrazdan River.
  • B. Metekhi Bridge
    Metekhi Bridge is a historic bridge in Tbilisi, Georgia, spanning the Kura River and connecting the old town area near the iconic Metekhi Church.
  • C. Byala Bridge
    Byala Bridge is a historic 19th-century stone arch bridge in Bulgaria, renowned for its elegant architecture and engineering across the Yantra River.
  • D. Kapchagay bridge
    Kapchagay bridge is a road bridge in southeastern Kazakhstan that spans the Ili River near the city of Kapchagay, serving as a key regional transport link.
  • E. Lanskoy Bridge
    Lanskoy Bridge is a road bridge in Saint Petersburg, Russia, spanning the Bolshaya Nevka River and connecting parts of the city’s northern districts.
  • 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_69e0b516293c819089458ea2ec85f85e completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e736d186988190a5b16fcb669ece9f completed April 21, 2026, 8:35 a.m.
Created at: April 16, 2026, 4:02 p.m.