Triple
T17134700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madonna del Ghisallo |
E415804
|
entity |
| Predicate | routeUsedBy |
P83751
|
FINISHED |
| Object | amateur cyclists |
—
|
LITERAL 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: amateur cyclists | Statement: [Madonna del Ghisallo, routeUsedBy, amateur cyclists]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: routeUsedBy Context triple: [Madonna del Ghisallo, routeUsedBy, amateur cyclists]
-
A.
usedRoutes
chosen
Indicates that an entity has utilized or traveled along specific routes.
-
B.
routeVia
Indicates that a connection, path, or communication between two points is established or carried out through an intermediate location, node, or channel.
-
C.
routeTypeAccessed
Indicates that a particular type of route has been accessed or used in some context.
-
D.
route
Indicates that one entity serves as a path or course used to travel or move between locations associated with another entity.
-
E.
routeAffected
Indicates that a transportation route is impacted or disrupted in some way, such as by delays, closures, or changes in service.
- F. None of above.
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_69d886d15af4819092f92f8a129763e6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f02dca8881908efd73741397a207 |
completed | April 18, 2026, 8:57 p.m. |
| PD | Predicate disambiguation | batch_69e3830192ac819091344a9e5a36c8c9 |
completed | April 18, 2026, 1:11 p.m. |
Created at: April 10, 2026, 5:36 a.m.