Triple

T20314711
Position Surface form Disambiguated ID Type / Status
Subject Frankfurt–Paris E510348 entity
Predicate hasTerminus P388 FINISHED
Object Paris-Est NE NERFINISHED

How this triple was built (3 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: Paris-Est | Statement: [Frankfurt–Paris, hasTerminus, Paris-Est]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paris-Est
Context triple: [Frankfurt–Paris, hasTerminus, Paris-Est]
  • A. Le Stade
    Le Stade is the popular nickname of Stade Toulousain, one of Europe’s most successful and historic rugby union clubs based in Toulouse, France.
  • B. Billancourt
    Billancourt is a Paris Métro station in Boulogne-Billancourt serving the western suburbs of the French capital.
  • C. The Stade
    The Stade is a historic shingle beach and working fishing quarter in Hastings, England, known for its beach-launched fishing fleet and distinctive tall black net huts.
  • D. Massy
    Massy is a suburban town in the southern outskirts of Paris, France, known as a significant transport hub with major RER and TGV connections.
  • E. Stade
    Stade is a historic Hanseatic town in northern Germany known for its medieval harbor, brick Gothic architecture, and role as a former trading center on the Elbe River.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Paris-Est
Target entity description: Paris-Est is one of the main railway stations in Paris, serving as a major hub for regional and international train services, particularly toward eastern France and neighboring countries.
  • A. Le Stade
    Le Stade is the popular nickname of Stade Toulousain, one of Europe’s most successful and historic rugby union clubs based in Toulouse, France.
  • B. Billancourt
    Billancourt is a Paris Métro station in Boulogne-Billancourt serving the western suburbs of the French capital.
  • C. The Stade
    The Stade is a historic shingle beach and working fishing quarter in Hastings, England, known for its beach-launched fishing fleet and distinctive tall black net huts.
  • D. Massy
    Massy is a suburban town in the southern outskirts of Paris, France, known as a significant transport hub with major RER and TGV connections.
  • E. Stade
    Stade is a historic Hanseatic town in northern Germany known for its medieval harbor, brick Gothic architecture, and role as a former trading center on the Elbe River.
  • F. None of above. chosen

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_69e0b4c7491c8190961113c4283b10b0 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e67786f4dc8190b02a6c2a4338362d completed April 20, 2026, 6:59 p.m.
Created at: April 16, 2026, 11:19 a.m.