Triple
T26658050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Superman – Ride of Steel (Six Flags Darien Lake) |
E666563
|
entity |
| Predicate | similarRide |
P161951
|
FINISHED |
| Object | Superman – Ride of Steel (Six Flags America) |
—
|
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: Superman – Ride of Steel (Six Flags America) | Statement: [Superman – Ride of Steel (Six Flags Darien Lake), similarRide, Superman – Ride of Steel (Six Flags America)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: similarRide Context triple: [Superman – Ride of Steel (Six Flags Darien Lake), similarRide, Superman – Ride of Steel (Six Flags America)]
-
A.
similarRideType
Indicates that two rides share a comparable type or category, such as service level, vehicle class, or ride style.
-
B.
transportChallenge
Indicates a situation where transporting something or someone is difficult, obstructed, or requires special effort or resources.
-
C.
rides
Indicates that one entity travels on or is carried by another entity as a passenger or operator.
-
D.
ridesWith
Indicates that one entity is traveling together in the same vehicle or conveyance as another entity.
-
E.
escortType
Indicates the specific role or category of escort service associated with an escorting relationship or activity.
- 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_69ee9cf8c7188190b9b00270a8a89164 |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f62081136c81909de8090b1d6c1ac5 |
completed | May 2, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69f61b3d23f481908dfec27adace900a |
completed | May 2, 2026, 3:41 p.m. |
| PDg | Predicate description generation | batch_69f61fd5442081908ca677a9c81dcb3f |
completed | May 2, 2026, 4:01 p.m. |
Created at: April 27, 2026, 2:35 a.m.