Triple

T8098022
Position Surface form Disambiguated ID Type / Status
Subject Octavia the Younger E189034 entity
Predicate placeOfBirth P1 FINISHED
Object Nola E39229 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: Nola | Statement: [Octavia the Younger, placeOfBirth, Nola]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nola
Context triple: [Octavia the Younger, placeOfBirth, Nola]
  • A. Nola chosen
    Nola is an ancient town in southern Italy, historically significant in Roman times and known as the place where Emperor Augustus died.
  • B. New Orleans
    New Orleans is a historic port city in southeastern Louisiana known for its vibrant jazz music, Creole cuisine, and distinctive French and Spanish-influenced architecture.
  • C. Shreveport
    Shreveport is a major city in northwestern Louisiana known for its role as a regional commercial, cultural, and transportation hub.
  • D. Biloxi
    Biloxi is a coastal Mississippi city known for its beaches, casinos, and seafood industry along the Gulf of Mexico.
  • E. New Iberia
    New Iberia is a small city in southern Louisiana, United States, known for its Cajun and Creole culture, historic architecture, and proximity to the Bayou Teche.
  • 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_69ca82b886d88190a9cba0d5a4a27521 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4294b73481908c8373b8eca0f608 completed March 31, 2026, 3:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccecf8f4a48190be0af148a9da4713 completed April 1, 2026, 10:01 a.m.
Created at: March 30, 2026, 5:30 p.m.