Triple
T4811290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hieronymus |
E107073
|
entity |
| Predicate | bornInPlace |
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: [Hieronymus, bornInPlace, Stridon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stridon Context triple: [Hieronymus, bornInPlace, 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_69bd43f779448190b92885cb70abb6c2 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6c7d168481908efd9d28b35e4bae |
completed | March 20, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be4dae0008819089c54a3815e578bc |
completed | March 21, 2026, 7:50 a.m. |
Created at: March 20, 2026, 1:23 p.m.