Triple

T12393447
Position Surface form Disambiguated ID Type / Status
Subject Moscow–Prague E296054 entity
Predicate hasName P744 FINISHED
Object Moscow–Prague E296054 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: Moscow–Prague | Statement: [Moscow–Prague, hasName, Moscow–Prague]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moscow–Prague
Context triple: [Moscow–Prague, hasName, Moscow–Prague]
  • A. Moscow–Prague chosen
    Moscow–Prague is an international air route connecting the capitals of Russia and the Czech Republic.
  • B. Paris–Prague
    Paris–Prague was an international air route connecting the French and Czech capitals, served by the early 20th-century French airline Air Union.
  • C. Prague–Plzeň
    Prague–Plzeň is a major transport corridor in the Czech Republic connecting the capital city of Prague with the industrial city of Plzeň and serving as an important route for regional and international traffic.
  • D. Prague-Libeň
    Prague-Libeň is a district of Prague, Czech Republic, historically notable as the site of the World War II Operation Anthropoid assassination of Reinhard Heydrich.
  • E. Prazhskaya
    Prazhskaya is a Moscow Metro station named after Prague, featuring Soviet-era architecture with Czech design influences.
  • 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_69d6ad9e653c8190b1473c860ee53dae completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d93fd228488190b216abd1c341563c completed April 10, 2026, 6:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6347c239881909a031e9e195080c9 completed May 2, 2026, 5:29 p.m.
Created at: April 8, 2026, 9:54 p.m.