Triple
T26663073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coopersville & Marne Railway |
E666703
|
entity |
| Predicate | offersAttractionType |
P59374
|
FINISHED |
| Object | family-oriented train rides |
—
|
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: family-oriented train rides | Statement: [Coopersville & Marne Railway, offersAttractionType, family-oriented train rides]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersAttractionType Context triple: [Coopersville & Marne Railway, offersAttractionType, family-oriented train rides]
-
A.
offersAttraction
chosen
Indicates that one entity provides or presents an attraction, such as an activity, feature, or point of interest, to another entity or audience.
-
B.
sponsoredAttractionType
Indicates that an attraction is sponsored in association with a particular type or category of attraction.
-
C.
hasAttractionType
Indicates that one entity is associated with a specific kind or category of attraction (e.g., tourist, cultural, natural).
-
D.
attractionType
Indicates the specific kind or category of attraction that characterizes the relationship between entities.
-
E.
partOfAttractionType
Indicates that one attraction type is a component or subset of a broader, more general attraction type.
- 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_69ee9cf8c7188190b9b00270a8a89164 |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f70e8755a48190931eaa77946f9460 |
completed | May 3, 2026, 8:59 a.m. |
| PD | Predicate disambiguation | batch_69f70abc00848190a1c3f495ef6c8dc6 |
completed | May 3, 2026, 8:43 a.m. |
Created at: April 27, 2026, 2:37 a.m.