Triple
T6133624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leopoldstadt |
E136778
|
entity |
| Predicate | hasPark |
P105
|
FINISHED |
| Object | Prater park |
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 park | Statement: [Leopoldstadt, hasPark, Prater park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Prater park Context triple: [Leopoldstadt, hasPark, Prater park]
-
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.
Prater Tower
Prater Tower is a prominent amusement ride and observation tower located in Vienna’s historic Prater park.
-
C.
Gellert Park
Gellert Park is a public recreational park located in Daly City, California, offering open green spaces and community amenities for local residents.
-
D.
Victoria Park
Victoria Park is a public recreational park in Widnes, England, featuring green spaces, sports facilities, and community amenities.
-
E.
Victoria Park
Victoria Park is a residential and student-populated area in Manchester, England, known for its proximity to the city’s universities and diverse local communities.
- 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_69c008a179388190a3b5a081bbf46d55 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05c7f34d081909e589b201b22be21 |
completed | March 22, 2026, 9:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1416e8fa8819092bf830cbaa56647 |
completed | March 23, 2026, 1:34 p.m. |
Created at: March 22, 2026, 4:15 p.m.