Triple

T14190170
Position Surface form Disambiguated ID Type / Status
Subject Saint Paul E351690 entity
Predicate traveledTo P2694 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: [Saint Paul, traveledTo, Corinth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Corinth
Context triple: [Saint Paul, traveledTo, 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. 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.
  • E. Corinto
    Corinto is a municipality located in the Morazán Department of northeastern El Salvador, known for its rural character and mountainous landscapes.
  • 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_69d827894ac0819097803e57f3227b23 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61df628c8190ba3f557e2128dce5 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd194543f081909cb11cf0881afa90 completed May 7, 2026, 10:59 p.m.
Created at: April 10, 2026, 1:03 a.m.