Triple

T8461321
Position Surface form Disambiguated ID Type / Status
Subject Medea E200045 entity
Predicate associatedWith P37 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: [Medea, associatedWith, Corinth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Corinth
Context triple: [Medea, associatedWith, Corinth]
  • A. Corinth
    Corinth is a small unincorporated community located in Coweta County, Georgia, United States.
  • B. 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.
  • C. 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.
  • D. 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.
  • E. Corinto
    Corinto is a major Pacific seaport town in northwestern Nicaragua that serves as one of the country’s principal maritime gateways for trade.
  • 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_69ca83198c4c8190a337bf717d1813f5 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe4a0ff4c8190b17bbd33db632cea completed March 31, 2026, 3:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce1df214ac8190b59daa88e3a930bc completed April 2, 2026, 7:42 a.m.
Created at: March 30, 2026, 6:10 p.m.