Triple
T24876976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chopin and George Sand winter stay of 1838–1839 |
E622595
|
entity |
| Predicate | tourismRelated |
P27612
|
FINISHED |
| Object | modern cultural tourism in Valldemossa |
—
|
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: modern cultural tourism in Valldemossa | Statement: [Chopin and George Sand winter stay of 1838–1839, tourismRelated, modern cultural tourism in Valldemossa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tourismRelated Context triple: [Chopin and George Sand winter stay of 1838–1839, tourismRelated, modern cultural tourism in Valldemossa]
-
A.
tourismFrom
Indicates that tourists or visitor activity originates from one place and is directed toward another location.
-
B.
tourismTheme
chosen
Indicates the main subject or focus of a tourism-related activity, service, or destination (such as cultural, adventure, or eco-tourism).
-
C.
tourismFeature
Indicates that something serves as an attraction, amenity, or point of interest relevant to tourism or visitors.
-
D.
tourismType
Indicates the specific category or kind of tourism activity or experience associated with an entity.
-
E.
tourismTrend
Indicates how patterns or levels of tourism activity change over time or across locations.
- 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_69e2fac3fdbc81909c2ec49be5743cd9 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f43043512481909501a3979cac9947 |
completed | May 1, 2026, 4:46 a.m. |
| PD | Predicate disambiguation | batch_69f420fd375c81908ea4a4e60b76ee8f |
completed | May 1, 2026, 3:41 a.m. |
Created at: April 18, 2026, 5:24 a.m.