Triple

T12476334
Position Surface form Disambiguated ID Type / Status
Subject Lucius Mummius Achaicus E298184 entity
Predicate destroyed P5325 FINISHED
Object city of 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: city of Corinth | Statement: [Lucius Mummius Achaicus, destroyed, city of Corinth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: city of Corinth
Context triple: [Lucius Mummius Achaicus, destroyed, city of Corinth]
  • A. Corinth
    Corinth is a suburban city within the Dallas–Fort Worth metropolitan area in Texas, known for its residential communities and proximity to major urban centers.
  • 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. Corinth
    Corinth is a small unincorporated community located in Coweta County, Georgia, United States.
  • 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_69d6ada377208190a36011199a4d8558 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94dcb194c81908b5e0320ddfd463c completed April 10, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6556c8e4c8190aa7df1defb4cce78 completed May 2, 2026, 7:50 p.m.
Created at: April 8, 2026, 9:56 p.m.