Triple
T22920575
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rulantica |
E568848
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Rulantica |
—
|
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: Rulantica | Statement: [Rulantica, name, Rulantica]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rulantica Context triple: [Rulantica, name, Rulantica]
-
A.
Rulantica
chosen
Rulantica is a large Nordic-themed indoor water park and resort destination associated with Europa-Park in Rust, Germany.
-
B.
Navardún
Navardún is a small historic village in northeastern Spain’s Aragon region, known for its medieval architecture and rural setting within the province of Zaragoza.
-
C.
Malcantone
Malcantone is a picturesque hilly region in the Swiss canton of Ticino, known for its chestnut forests, traditional villages, and scenic hiking trails near the Italian border.
-
D.
Modautal
Modautal is a small municipality in the state of Hesse in central Germany, situated in a rural, hilly area south of Darmstadt.
-
E.
Valderice
Valderice is a small town and comune in western Sicily, Italy, known for its scenic hillside setting near the historic city of Erice and views over the Gulf of Trapani.
- 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_69e2458d90c88190a58cead4e781ca6a |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f180d40f98819096210c097b47d43b |
completed | April 29, 2026, 3:53 a.m. |
Created at: April 17, 2026, 3:42 p.m.