Triple

T17957308
Position Surface form Disambiguated ID Type / Status
Subject Saint Cornelius E448985 entity
Predicate deathPlace P21 FINISHED
Object Civitavecchia NE NERFINISHED

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: Civitavecchia | Statement: [Saint Cornelius, deathPlace, Civitavecchia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Civitavecchia
Context triple: [Saint Cornelius, deathPlace, Civitavecchia]
  • A. Civitavecchia chosen
    Civitavecchia is a major Italian port city in the Lazio region that serves as the principal maritime gateway to Rome on the Tyrrhenian coast.
  • B. Gaeta
    Gaeta is a historic coastal town in central Italy known for its scenic Gulf of Gaeta, medieval fortifications, and strategic military and maritime significance.
  • C. Rimini
    Rimini is a historic Italian coastal city on the Adriatic Sea, renowned for its beaches, Roman and Renaissance landmarks, and vibrant tourism industry.
  • D. Pomezia
    Pomezia is a modern industrial and residential town in the Lazio region of central Italy, situated just south of Rome.
  • E. Livorno
    Livorno is a settlement in Wanica District, Suriname, known as a suburban community near the capital city of Paramaribo.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9f8cca8819099836916c56b7c95 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4afb0afe08190964e771ec632fa1e completed April 19, 2026, 10:34 a.m.
Created at: April 10, 2026, 10:21 a.m.