Triple
T8045248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Festival dei Due Mondi |
E187530
|
entity |
| Predicate | hasTouristImpact |
P39275
|
FINISHED |
| Object | attracts visitors to Spoleto each summer |
—
|
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: attracts visitors to Spoleto each summer | Statement: [Festival dei Due Mondi, hasTouristImpact, attracts visitors to Spoleto each summer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTouristImpact Context triple: [Festival dei Due Mondi, hasTouristImpact, attracts visitors to Spoleto each summer]
-
A.
hasTourismImpactOn
chosen
Indicates that one entity affects or influences the tourism levels, patterns, or attractiveness of another entity.
-
B.
hasTouristVisits
Indicates that one entity experiences or records visits from tourists to another entity.
-
C.
hasTouristPopularity
Indicates that a place or attraction is recognized as being popular or frequently visited by tourists.
-
D.
hasTouristInfrastructure
Indicates that a place is equipped with facilities and services designed to support and accommodate tourists.
-
E.
hasTourismFunction
Indicates that an entity serves a role or purpose related to tourism, such as attracting, accommodating, or providing services to tourists.
- 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_69ca82b00cb48190b59a300f70e97bd7 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3f4c79388190aecee6e313071a17 |
completed | March 31, 2026, 3:28 a.m. |
| PD | Predicate disambiguation | batch_69cb049688208190b32088bd2c5930bc |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:24 p.m.