Triple

T12500862
Position Surface form Disambiguated ID Type / Status
Subject Moscow–Paris E298815 entity
Predicate continentConnection P47366 FINISHED
Object Europe–Europe E833 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: Europe–Europe | Statement: [Moscow–Paris, continentConnection, Europe–Europe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Europe–Europe
Context triple: [Moscow–Paris, continentConnection, Europe–Europe]
  • A. Europa Europa
    Europa Europa is a 1990 German drama film based on the true story of a Jewish boy who survives the Holocaust by posing as a member of the Hitler Youth.
  • B. More Europe (+Europa)
    More Europe (+Europa) is a liberal, pro-European political party in Italy advocating European integration, civil liberties, and progressive social policies.
  • C. Ευρώπη
    Η Ευρώπη είναι μία από τις ηπείρους της Γης, γνωστή για την πλούσια ιστορία, τον πολιτισμό της και τον σημαντικό ρόλο της στην παγκόσμια πολιτική και οικονομία.
  • D. Europe chosen
    Europe is a diverse continent in the Northern Hemisphere known for its rich history, cultural heritage, and significant influence on global politics, economics, and science.
  • E. Continental Europe
    Continental Europe is the mainland portion of the European continent, excluding its surrounding islands such as Great Britain and Ireland.
  • 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_69d6ada4cd388190ae3bbf83ff87057a completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94dfbb2a48190a231b02cfa990565 completed April 10, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64bb38e048190bbc96244b71953b6 completed May 2, 2026, 7:08 p.m.
Created at: April 8, 2026, 9:57 p.m.