Triple
T6039380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lancaster Country Ride |
E134505
|
entity |
| Predicate | typeOfRide |
P23016
|
FINISHED |
| Object | recreational |
—
|
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: recreational | Statement: [Lancaster Country Ride, typeOfRide, recreational]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfRide Context triple: [Lancaster Country Ride, typeOfRide, recreational]
-
A.
rideType
Indicates the specific category or mode of transportation involved in a ride (e.g., standard, shared, premium).
-
B.
transportType
Indicates the mode or means of transportation used in carrying something or someone from one place to another.
-
C.
containsRideType
chosen
Indicates that one entity includes or offers a specific type or category of ride as part of its available options.
-
D.
rideModel
Indicates that one entity is a specific model or type designation of a ride associated with another entity.
-
E.
carriageType
Indicates the specific kind or category of carriage associated with or used in relation to an entity.
- F. None of above.
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_69c00875db5c819099dd5bb833ec43c2 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c056ce10cc8190817ade56570adc92 |
completed | March 22, 2026, 8:53 p.m. |
| PD | Predicate disambiguation | batch_69c049eb52a08190ac10fd703735f5aa |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:08 p.m.