Triple

T4499367
Position Surface form Disambiguated ID Type / Status
Subject Ghent, New York E101180 entity
Predicate namedAfter P63 FINISHED
Object Ghent, Belgium E53969 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: Ghent, Belgium | Statement: [Ghent, New York, namedAfter, Ghent, Belgium]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ghent, Belgium
Context triple: [Ghent, New York, namedAfter, Ghent, Belgium]
  • A. Ghent chosen
    Ghent is a historic city in the Flemish region of Belgium, known for its medieval architecture, canals, and role as a major cultural and economic center in the Middle Ages.
  • B. Ghent
    Ghent is a small unincorporated community and ski-area destination located in Raleigh County, West Virginia, United States.
  • C. La Hulpe, Belgium
    La Hulpe is a small municipality in Walloon Brabant, Belgium, known for hosting the headquarters of the global financial messaging network SWIFT and for its nearby Solvay Castle and park.
  • D. Brussels, Belgium
    Brussels, Belgium is the capital city of Belgium and a major political center of Europe, hosting key institutions such as the European Union and numerous international organizations.
  • E. Genk, Belgium
    Genk, Belgium is an industrial city in the province of Limburg known for its former Ford automobile plant and its role as a regional economic and transportation hub.
  • 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_69bd43d175248190894dc58b5b395c26 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd56c29868819097633c7cd398e865 completed March 20, 2026, 2:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69be396a2ff481908974870ceb903188 completed March 21, 2026, 6:23 a.m.
Created at: March 20, 2026, 1 p.m.