Triple
T20188087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Force |
E492913
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Ferrari Land |
—
|
NE NERFINISHED |
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: Ferrari Land | Statement: [Red Force, locatedIn, Ferrari Land]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ferrari Land Context triple: [Red Force, locatedIn, Ferrari Land]
-
A.
Ferrari Land
chosen
Ferrari Land is a motorsport-themed amusement park in Spain dedicated to the Ferrari brand, featuring high-speed rides and attractions inspired by the iconic Italian car manufacturer.
-
B.
Ferrari World Abu Dhabi
Ferrari World Abu Dhabi is a large indoor theme park on Yas Island themed around the Ferrari brand, known for its record-breaking roller coasters and iconic red roof.
-
C.
Galleria Ferrari
Galleria Ferrari is an automotive-themed exhibition space showcasing Ferrari’s history, cars, and racing heritage.
-
D.
Museo Ferrari
Museo Ferrari is an automotive museum in Maranello, Italy, dedicated to the history, cars, and racing heritage of the Ferrari brand.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da6268a034819081cbd9ea5a1c9475 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66ad2c43c8190a2fc5ef2a0514e53 |
completed | April 20, 2026, 6:05 p.m. |
Created at: April 11, 2026, 11:37 p.m.