Triple
T1188648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zierer |
E25304
|
entity |
| Predicate | rideTypeProduced |
P26166
|
FINISHED |
| Object | steel roller coaster |
—
|
LITERAL 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: steel roller coaster | Statement: [Zierer, rideTypeProduced, steel roller coaster]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rideTypeProduced Context triple: [Zierer, rideTypeProduced, steel roller coaster]
-
A.
rideType
Indicates the specific category or mode of transportation involved in a ride (e.g., standard, shared, premium).
-
B.
bicycleType
Indicates the specific kind or category of bicycle associated with an entity.
-
C.
containsRideType
Indicates that one entity includes or offers a specific type or category of ride as part of its available options.
-
D.
rideSystem
Indicates that one entity uses or travels on a transportation system or service provided by another entity.
-
E.
typicalProductionType
Indicates the usual or characteristic type of production activity associated with an entity.
- 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_69a49427d98881908646d6c63b8cea1e |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bd568cf481908d10cf19a3ce28f3 |
completed | March 1, 2026, 10:27 p.m. |
| PD | Predicate disambiguation | batch_69a4bb5bacc481909e8dfd5215e4711a |
completed | March 1, 2026, 10:19 p.m. |
| PDg | Predicate description generation | batch_69a4bd0ab5f88190bb583fc63b4cc150 |
completed | March 1, 2026, 10:26 p.m. |
Created at: March 1, 2026, 7:45 p.m.