Triple

T8423735
Position Surface form Disambiguated ID Type / Status
Subject Nolani E198924 entity
Predicate usedAs P98 FINISHED
Object gentilic for 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: gentilic for Nola | Statement: [Nolani, usedAs, gentilic for Nola]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: gentilic for Nola
Context triple: [Nolani, usedAs, gentilic for Nola]
  • A. Count of Nola
    Count of Nola was a medieval noble title associated with the town of Nola in southern Italy, historically held by members of prominent European aristocratic families.
  • B. Nola chosen
    Nola is an ancient town in southern Italy, historically significant in Roman times and known as the place where Emperor Augustus died.
  • C. Colonia Nápoles
    Colonia Nápoles is a centrally located, middle- to upper-class neighborhood in Mexico City known for its residential streets, office buildings, and proximity to major landmarks and transport routes.
  • D. Naples, Florida, United States
    Naples, Florida, United States is a coastal city on the Gulf of Mexico known for its affluent communities, golf courses, and white-sand beaches.
  • E. Noma, Florida
    Noma, Florida is a small rural town located in Holmes County in the Florida Panhandle near the Alabama state line.
  • 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_69ca8312d63c8190bf133b676b44a385 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cb859f787481908a11797a317c8849 completed March 31, 2026, 8:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce035aac4c81909066c1ca1318d006 completed April 2, 2026, 5:49 a.m.
Created at: March 30, 2026, 6:07 p.m.