Triple
T11690997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint Josephine Bakhita |
E277866
|
entity |
| Predicate | residence |
P75
|
FINISHED |
| Object | Schio |
E758818
|
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: Schio | Statement: [Saint Josephine Bakhita, residence, Schio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schio Context triple: [Saint Josephine Bakhita, residence, Schio]
-
A.
Schio
chosen
Schio is an industrial town in northeastern Italy known historically for its textile production and location in the Veneto region.
-
B.
Rovigo
Rovigo is a small historic city in northeastern Italy known for its medieval architecture and location in the fertile Po River plain.
-
C.
Chivasso
Chivasso is a town and comune in the Piedmont region of northwestern Italy, situated near Turin along the Po River.
-
D.
Pioltello
Pioltello is a municipality in the Metropolitan City of Milan in Lombardy, northern Italy, known as a residential and industrial suburb of Milan.
-
E.
Vezzola
Vezzola is a river in the Abruzzo region of central Italy that flows through the city of Teramo.
- 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_69d6aafe02d881909900d54ad7d4af84 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a47a3ddc819098e208611148d15b |
completed | April 10, 2026, 7:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63ed82a548190ab9326daef78e30b |
completed | May 2, 2026, 6:13 p.m. |
Created at: April 8, 2026, 9:40 p.m.