Triple
T25322305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sumpter Valley Railroad (heritage railway) |
E634915
|
entity |
| Predicate | touristRailwayCategory |
P158454
|
FINISHED |
| Object | heritage mining railroad |
—
|
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: heritage mining railroad | Statement: [Sumpter Valley Railroad (heritage railway), touristRailwayCategory, heritage mining railroad]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: touristRailwayCategory Context triple: [Sumpter Valley Railroad (heritage railway), touristRailwayCategory, heritage mining railroad]
-
A.
touristRailwayCategory
chosen
Indicates that a railway is classified under a specific category or type of tourist railway.
-
B.
railwayStationCategory
Indicates the classification or type category assigned to a railway station within a rail network or system.
-
C.
trainTheme
Indicates that a training process or educational activity is centered around, focused on, or organized according to a particular theme or subject.
-
D.
hasRailroadAttraction
Indicates that one entity features or contains a railroad-related attraction, such as a railway exhibit, ride, or point of interest.
-
E.
Scenic RailwayStatus
Indicates that an entity’s status or condition is specifically related to a scenic railway (e.g., whether it is active, inactive, under construction, or otherwise classified).
- 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_69e75a9908108190a95427a97020632a |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f4969035ac8190a35a8f6c4e4685a7 |
completed | May 1, 2026, 12:03 p.m. |
| PD | Predicate disambiguation | batch_69f4806d93dc8190b9dff4c63186faff |
completed | May 1, 2026, 10:29 a.m. |
Created at: April 21, 2026, 1:29 p.m.