Triple

T4207651
Position Surface form Disambiguated ID Type / Status
Subject Stadtholder of Cleves E93821 entity
Predicate seatOfGovernment P761 FINISHED
Object Cleves E102459 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: Cleves | Statement: [Stadtholder of Cleves, seatOfGovernment, Cleves]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cleves
Context triple: [Stadtholder of Cleves, seatOfGovernment, Cleves]
  • A. Cleves chosen
    Cleves is a historic town in western Germany near the Dutch border, known for its medieval castle and role as a former ducal capital in the Lower Rhine region.
  • B. Havana, Ohio
    Havana, Ohio is a small unincorporated community located in Huron County in north-central Ohio.
  • C. Dublin, Ohio
    Dublin, Ohio is a suburban city northwest of Columbus known for its affluent neighborhoods, strong school system, and annual Dublin Irish Festival.
  • D. Lithopolis, Ohio
    Lithopolis, Ohio is a small village in central Ohio known for its historic charm and annual Honeyfest, located southeast of Columbus.
  • E. Clyde, Ohio
    Clyde, Ohio is a small city in Sandusky County best known as the childhood home and inspiration for many works of American writer Sherwood Anderson.
  • 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_69b3451743608190808f41d17ccf2650 completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b3480e2aa08190a0b24df3b0e4b272 completed March 12, 2026, 11:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69be89b9fcbc8190868b8d0584e94118 completed March 21, 2026, 12:06 p.m.
Created at: March 12, 2026, 11:03 p.m.