Triple

T6679056
Position Surface form Disambiguated ID Type / Status
Subject Eusebius Sophronius Hieronymus E151931 entity
Predicate birthPlace P1 FINISHED
Object Stridon E112159 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: Stridon | Statement: [Eusebius Sophronius Hieronymus, birthPlace, Stridon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stridon
Context triple: [Eusebius Sophronius Hieronymus, birthPlace, Stridon]
  • A. Stridon chosen
    Stridon was an ancient town on the border of Roman Dalmatia and Pannonia, best known as the birthplace of the Christian scholar and Bible translator Jerome.
  • B. Piave River
    The Piave River is a waterway in northeastern Italy that became historically significant as the site of major battles on the Italian Front during World War I.
  • C. Adria
    Adria is a feminine given name of Latin origin, commonly used in Spanish- and Italian-speaking cultures.
  • D. Vrbas
    Vrbas is a town and municipality in the Bačka region of northern Serbia, known as a local administrative, industrial, and transportation center.
  • E. Vrbas
    Vrbas is a river in western Bosnia and Herzegovina that flows through cities like Banja Luka before joining the Sava River.
  • 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_69c687f830bc81909eb8b04dbb8450b1 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b0f6813c8190906f619b4276a232 completed March 27, 2026, 4:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6f7a9fda4819096d4bd3e8133cecb completed March 27, 2026, 9:33 p.m.
Created at: March 27, 2026, 2:03 p.m.