Triple
T11894314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gardaland |
E282996
|
entity |
| Predicate | hasResort |
P4287
|
FINISHED |
| Object | Gardaland Hotel |
E282996
|
NE 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: Gardaland Hotel | Statement: [Gardaland, hasResort, Gardaland Hotel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gardaland Hotel Context triple: [Gardaland, hasResort, Gardaland Hotel]
-
A.
Gardaland
chosen
Gardaland is a major Italian theme park and resort near Lake Garda, known for its roller coasters, family attractions, and themed entertainment.
-
B.
Mirabilandia
Mirabilandia is a major Italian amusement park near Ravenna, known for its large roller coasters, themed areas, and water park on the Adriatic coast.
-
C.
Vasa Park Resort
Vasa Park Resort is a lakeside recreational and event venue on the shores of Lake Sammamish in Washington State, offering swimming, picnicking, and facilities for gatherings.
-
D.
Lucas Gardens
Lucas Gardens is a small public park in the Denmark Hill area of London, offering green space, trees, and seating for local residents.
-
E.
Tivoli Park
Tivoli Park is the largest and most famous public park in Ljubljana, Slovenia, known for its landscaped gardens, walking paths, and cultural venues.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6ab2a90b08190a4e818821cc93e6d |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8dd1172988190a2c13d37220f2f93 |
completed | April 10, 2026, 11:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f4180569ac81909137d56374e800c0 |
completed | May 1, 2026, 3:03 a.m. |
Created at: April 8, 2026, 9:44 p.m.