Triple

T22180571
Position Surface form Disambiguated ID Type / Status
Subject French railway network E548156 entity
Predicate hasMajorHub P164 FINISHED
Object Gare d'Austerlitz 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: Gare d'Austerlitz | Statement: [French railway network, hasMajorHub, Gare d'Austerlitz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gare d'Austerlitz
Context triple: [French railway network, hasMajorHub, Gare d'Austerlitz]
  • A. Gare d’Austerlitz chosen
    Gare d’Austerlitz is a major Paris railway station on the Left Bank of the Seine, serving both mainline and suburban trains including the RER network.
  • B. Paris-Austerlitz station
    Paris-Austerlitz station is a major railway terminus in central Paris, serving regional, national, and international trains, particularly toward central and southwestern France.
  • C. Wagram station
    Wagram station is a Paris Métro station on Line 3 located in the 17th arrondissement of Paris, France.
  • D. Estació de França
    Estació de França is a historic railway station in Barcelona, Spain, known for its grand architecture and role as a major terminus for regional and long-distance trains.
  • E. Lesseps station
    Lesseps station is a Barcelona Metro stop in the Gràcia district, providing urban rail access on the city's Line 3.
  • 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_69e11e3d53f88190a2b690e3f25bb062 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12aa4d4ac8190922b919c15623963 completed April 28, 2026, 9:46 p.m.
Created at: April 16, 2026, 8:35 p.m.