Triple

T7416394
Position Surface form Disambiguated ID Type / Status
Subject L'Étoile du Nord E171140 entity
Predicate hasWord P35 FINISHED
Object Nord E70209 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: Nord | Statement: [L'Étoile du Nord, hasWord, Nord]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nord
Context triple: [L'Étoile du Nord, hasWord, Nord]
  • A. Nord chosen
    Nord is a department in northern France known for its industrial heritage, dense population, and proximity to Belgium.
  • B. Norden
    Norden is a suburban village and residential area within the Metropolitan Borough of Rochdale in Greater Manchester, England.
  • C. Norden
    Norden is a historic coastal town in northern Germany’s East Frisia region, known for its North Sea proximity and traditional Frisian character.
  • D. Norra
    Norra is a Finnish regional airline that operates domestic and short-haul international flights, primarily on behalf of Finnair.
  • E. Nordis
    Nordis is the popular nickname for Helsinki Ice Hall, a major indoor arena in Helsinki, Finland, best known as the longtime home venue of the HIFK ice hockey team.
  • 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_69c68a618bdc81908d8018edadecd1a4 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f2c7ae0c8190a8348d6223aeeecc completed March 27, 2026, 9:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c81ee704a8819088f72135272404cb completed March 28, 2026, 6:33 p.m.
Created at: March 27, 2026, 3:11 p.m.