Triple
T21689090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michele Scarponi |
E535309
|
entity |
| Predicate | placeOfDeath |
P21
|
FINISHED |
| Object |
Filottrano
Filottrano is a small town in Italy’s Marche region, known in part as the place where professional cyclist Michele Scarponi died.
|
E1499723
|
NE FINISHED |
How this triple was built (4 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, placeOfDeath, Filottrano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Filottrano Context triple: [Michele Scarponi, placeOfDeath, Filottrano]
-
A.
Fisciano
Fisciano is a town in the Campania region of southern Italy known for hosting the main campus of the University of Salerno.
-
B.
Lavello
Lavello is a historic town in the Basilicata region of southern Italy, known for its agricultural economy and archaeological heritage.
-
C.
Mercogliano
Mercogliano is a town and comune in southern Italy’s Campania region, known for its proximity to Avellino and the Montevergine Sanctuary.
-
D.
Cataldo
Cataldo is a small unincorporated community in northern Idaho known for its historic Cataldo Mission, the oldest standing building in the state.
-
E.
Agerola
Agerola is a hilltop town on Italy’s Amalfi Coast known for its scenic hiking trails, including access to the Path of the Gods, and its traditional dairy and agricultural products.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Filottrano Triple: [Michele Scarponi, placeOfDeath, Filottrano]
Generated description
Filottrano is a small town in Italy’s Marche region, known in part as the place where professional cyclist Michele Scarponi died.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Filottrano Target entity description: Filottrano is a small town in Italy’s Marche region, known in part as the place where professional cyclist Michele Scarponi died.
-
A.
Fisciano
Fisciano is a town in the Campania region of southern Italy known for hosting the main campus of the University of Salerno.
-
B.
Lavello
Lavello is a historic town in the Basilicata region of southern Italy, known for its agricultural economy and archaeological heritage.
-
C.
Mercogliano
Mercogliano is a town and comune in southern Italy’s Campania region, known for its proximity to Avellino and the Montevergine Sanctuary.
-
D.
Cataldo
Cataldo is a small unincorporated community in northern Idaho known for its historic Cataldo Mission, the oldest standing building in the state.
-
E.
Agerola
Agerola is a hilltop town on Italy’s Amalfi Coast known for its scenic hiking trails, including access to the Path of the Gods, and its traditional dairy and agricultural products.
- F. None of above. chosen
Provenance (5 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. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a2ec474288190b7f3477022596a2a |
completed | May 17, 2026, 9:10 p.m. |
| NEDg | Description generation | batch_6a0a30369e04819091a175b93ed685a0 |
completed | May 17, 2026, 9:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a30ded0f081909589e57a4cc030fd |
completed | May 17, 2026, 9:19 p.m. |
Created at: April 16, 2026, 6:44 p.m.