Triple

T10797624
Position Surface form Disambiguated ID Type / Status
Subject Hamburg metropolitan region E254750 entity
Predicate containsUrbanArea P11388 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: [Hamburg metropolitan region, containsUrbanArea, Stade]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stade
Context triple: [Hamburg metropolitan region, containsUrbanArea, 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 d’Octodure
    Stade d’Octodure is a sports stadium in Martigny, Switzerland, primarily used for football and athletics events.
  • C. 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.
  • D. Stade du Hameau
    Stade du Hameau is a multi-purpose sports stadium in Pau, France, best known for hosting rugby union matches, particularly those of Section Paloise.
  • E. 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.
  • 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_69d6aa61c15c8190a1839550c56e75e1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d73333dc4081909faa40c10bce2735 completed April 9, 2026, 5:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69de566352608190ab15e3a4b690c9a5 completed April 14, 2026, 2:59 p.m.
Created at: April 8, 2026, 9:17 p.m.