Triple

T5519934
Position Surface form Disambiguated ID Type / Status
Subject Roman Greece E144778 entity
Predicate hasImportantCity P316 FINISHED
Object Corinth E61494 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: Corinth | Statement: [Roman Greece, hasImportantCity, Corinth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Corinth
Context triple: [Roman Greece, hasImportantCity, Corinth]
  • A. Corinth
    Corinth is a small unincorporated community located in Coweta County, Georgia, United States.
  • B. Corinth chosen
    Corinth was an influential ancient Greek city-state strategically located on the Isthmus of Corinth, known for its wealth, maritime trade, and cultural significance.
  • C. Corinth
    Corinth is a small town and village in Saratoga County, New York, known for its historic paper mills and location along the Hudson River near the Adirondack foothills.
  • D. Corinto
    Corinto is a major Pacific seaport town in northwestern Nicaragua that serves as one of the country’s principal maritime gateways for trade.
  • E. Sikyon
    Sikyon was an ancient Greek city-state in the northern Peloponnese, known for its artistic and cultural achievements, especially in sculpture and painting.
  • 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_69c008f873a481909b4d9f7e2db3c37d completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f7082ac8190a372fa75e8dec6a4 completed March 22, 2026, 4:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c027e995e88190833762cb94a781cc completed March 22, 2026, 5:33 p.m.
Created at: March 22, 2026, 3:33 p.m.