Triple
T21689121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michele Scarponi |
E535309
|
entity |
| Predicate | burialPlace |
P196
|
FINISHED |
| Object | Filottrano |
—
|
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: Filottrano | Statement: [Michele Scarponi, burialPlace, Filottrano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Filottrano Context triple: [Michele Scarponi, burialPlace, Filottrano]
-
A.
Filottrano
chosen
Filottrano is a small town in Italy’s Marche region, known in part as the place where professional cyclist Michele Scarponi died.
-
B.
Fisciano
Fisciano is a town in the Campania region of southern Italy known for hosting the main campus of the University of Salerno.
-
C.
Lavello
Lavello is a historic town in the Basilicata region of southern Italy, known for its agricultural economy and archaeological heritage.
-
D.
Mercogliano
Mercogliano is a town and comune in southern Italy’s Campania region, known for its proximity to Avellino and the Montevergine Sanctuary.
-
E.
Cataldo
Cataldo is a small unincorporated community in northern Idaho known for its historic Cataldo Mission, the oldest standing building in the state.
- 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_69e0c469b6ec8190aee4cadd1527db91 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef96cd51d481908df67e4f69826b06 |
completed | April 27, 2026, 5:03 p.m. |
Created at: April 16, 2026, 6:44 p.m.