Triple

T12877775
Position Surface form Disambiguated ID Type / Status
Subject Leipzig metropolitan region E308012 entity
Predicate containsCity P294 FINISHED
Object Grimma E185204 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: Grimma | Statement: [Leipzig metropolitan region, containsCity, Grimma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grimma
Context triple: [Leipzig metropolitan region, containsCity, Grimma]
  • A. Grimma chosen
    Grimma is a historic town in the Free State of Saxony in eastern Germany, known for its medieval architecture and location along the Mulde River.
  • B. Grindel
    Grindel is the birth surname of the French surrealist poet Paul Éluard.
  • C. Gus Grimly
    Gus Grimly is a conscientious and morally driven Duluth police officer in the television series "Fargo," whose fateful encounter with hitman Lorne Malvo entangles him in a web of violence and ethical dilemmas.
  • D. Archibald the Grim
    Archibald the Grim was a powerful 14th-century Scottish noble and Lord of Galloway, noted for his military prowess and prominent role in the Douglas family’s rise.
  • E. Grimble
    Grimble is a humorous children's book by Clement Freud about an eccentric young boy navigating life with unusually absent-minded parents.
  • 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_69d7bdf69bc48190af6c2621f28ca351 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d970fa8474819086a8af3c90f3ca84 completed April 10, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69bb83bac8190838f7537b806317c completed May 3, 2026, 12:50 a.m.
Created at: April 9, 2026, 5:38 p.m.