Triple
T35208401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arnolds Park Amusement Park |
E1016603
|
entity |
| Predicate | rollerCoasterName |
P182606
|
FINISHED |
| Object | Legend |
—
|
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: Legend | Statement: [Arnolds Park Amusement Park, rollerCoasterName, Legend]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rollerCoasterName Context triple: [Arnolds Park Amusement Park, rollerCoasterName, Legend]
-
A.
rollerCoasterType
Indicates that one entity is classified as a specific type or category of roller coaster in relation to another entity.
-
B.
coasterType
Indicates the specific category or style of a coaster that characterizes its design or function.
-
C.
COASTERIs
Indicates that one entity is a coaster or functions in the role of a coaster in relation to another entity.
-
D.
numberOfRollerCoasters
Indicates the quantity of roller coasters associated with a given entity.
-
E.
themeParkAttraction
Indicates that something is an attraction or ride located within a theme park.
- F. None of above. chosen
Provenance (4 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_69f76ddf549c8190869d0af076fd2c28 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7904a770481908ef3f788e51e8dba |
completed | May 3, 2026, 6:13 p.m. |
| PD | Predicate disambiguation | batch_69f78e2d71248190b850c2802ec170c0 |
completed | May 3, 2026, 6:04 p.m. |
| PDg | Predicate description generation | batch_69f78f629d508190b755848162c4e101 |
completed | May 3, 2026, 6:09 p.m. |
Created at: May 3, 2026, 4:02 p.m.