Triple

T5365423
Position Surface form Disambiguated ID Type / Status
Subject Bremen-Verden E103116 entity
Predicate hadPort P2745 FINISHED
Object Stade E222954 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: Stade | Statement: [Bremen-Verden, hadPort, Stade]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stade
Context triple: [Bremen-Verden, hadPort, Stade]
  • A. Stade chosen
    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.
  • B. Stade Bauer
    Stade Bauer is a historic football stadium in Saint-Ouen-sur-Seine, France, best known as the longtime home ground of Red Star FC.
  • C. Stadion
    Stadion is a Stockholm metro station on the red line, known for its colorful rainbow-themed artwork and proximity to the Stockholm Olympic Stadium.
  • D. Stade Auguste-Bonal
    Stade Auguste-Bonal is a football stadium in Montbéliard, France, best known as the long-time home ground of FC Sochaux-Montbéliard.
  • E. Stade de Reims
    Stade de Reims is a historic French football club, best known for its dominance in the 1950s and 1960s and for twice reaching the European Cup final.
  • 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_69bd43daa3e4819090b59d127db70e57 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd865eb23481908d32fae4efd86efa completed March 20, 2026, 5:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf334553148190a5c53bda473c17c3 completed March 22, 2026, 12:09 a.m.
Created at: March 20, 2026, 2:02 p.m.