Triple
T2538687
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giant Ferris Wheel |
E56330
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object | Prater |
E56329
|
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: Prater | Statement: [Giant Ferris Wheel, location, Prater]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Prater Context triple: [Giant Ferris Wheel, location, Prater]
-
A.
Prater
chosen
Prater is a large public park and historic amusement area in Vienna, Austria, best known for its iconic Giant Ferris Wheel and extensive green spaces.
-
B.
Gellert Park
Gellert Park is a public recreational park located in Daly City, California, offering open green spaces and community amenities for local residents.
-
C.
Fürth
Fürth is a historic city in northern Bavaria, Germany, known for its well-preserved old town and proximity to Nuremberg within the Franconian metropolitan region.
-
D.
Prater Tower
Prater Tower is a prominent amusement ride and observation tower located in Vienna’s historic Prater park.
-
E.
Untermarkt
Untermarkt is the historic lower market square in Görlitz, Germany, known for its well-preserved medieval and Renaissance architecture.
- 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_69ab4a49b6508190bc467fbef4bac334 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd298fc2481908b2925bf6a06532b |
completed | March 7, 2026, 7:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af65573c30819080a8f0235e5dd8be |
completed | March 10, 2026, 12:27 a.m. |
Created at: March 6, 2026, 9:47 p.m.