Triple

T4896730
Position Surface form Disambiguated ID Type / Status
Subject Polybus E109700 entity
Predicate country P26 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: [Polybus, country, Corinth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Corinth
Context triple: [Polybus, country, Corinth]
  • A. 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.
  • B. Corinth
    Corinth is a small unincorporated community located in Coweta County, Georgia, United States.
  • 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. Sikyon
    Sikyon was an ancient Greek city-state in the northern Peloponnese, known for its artistic and cultural achievements, especially in sculpture and painting.
  • E. Ἀκράγας
    Ἀκράγας is the ancient Greek name for the city of Agrigentum (modern Agrigento) in Sicily, a major colony of Magna Graecia renowned for its wealth and monumental temples.
  • 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_69bd4410bbf88190aad50d2451c863d6 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6e2923a081909bd592880b6f399b completed March 20, 2026, 3:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69be6fc997548190bb340193475065ee completed March 21, 2026, 10:15 a.m.
Created at: March 20, 2026, 1:28 p.m.