Triple

T1900543
Position Surface form Disambiguated ID Type / Status
Subject Caterina Gattilusio E37679 entity
Predicate title P38 FINISHED
Object Augusta E196016 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: Augusta | Statement: [Caterina Gattilusio, title, Augusta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Augusta
Context triple: [Caterina Gattilusio, title, Augusta]
  • A. Augusta
    Augusta is the given first name of Ada Lovelace, the 19th-century mathematician often regarded as the world's first computer programmer.
  • B. Augusta chosen
    Augusta was an honorific title used for empresses and other high-ranking women in the Roman and Byzantine Empires, signifying imperial dignity and status.
  • C. Augusta, Maine
    Augusta, Maine is a small city in the northeastern United States known as the capital of the state of Maine and situated along the Kennebec River.
  • D. Augusta, Georgia
    Augusta, Georgia is a major city in eastern Georgia known for hosting the Masters Tournament in professional golf and for its historic and military significance.
  • E. Petersburg
    Petersburg is a small fishing and logging town located on Mitkof Island in Southeast Alaska, known for its strong Norwegian heritage and maritime economy.
  • 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_69a8861be7148190a680937ec451a304 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb18c46c88190b10c05bf5c6a2d9c completed March 7, 2026, 5:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae58b843a081908c49ebb944d872d6 completed March 9, 2026, 5:20 a.m.
Created at: March 4, 2026, 7:35 p.m.