Triple
T19445855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ballaugh Bridge |
E486472
|
entity |
| Predicate | courseMileMarker |
P78177
|
FINISHED |
| Object | approximately 17th milestone on Snaefell Mountain Course |
—
|
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: approximately 17th milestone on Snaefell Mountain Course | Statement: [Ballaugh Bridge, courseMileMarker, approximately 17th milestone on Snaefell Mountain Course]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: courseMileMarker Context triple: [Ballaugh Bridge, courseMileMarker, approximately 17th milestone on Snaefell Mountain Course]
-
A.
courseEndPoint
Indicates the final location or destination at which a course, route, or path terminates.
-
B.
courseSectionOf
Indicates that one entity is a specific section or offering of a broader course.
-
C.
course
Indicates that an entity is an academic class or unit of instruction offered within an educational program.
-
D.
hasStructureOnCourse
chosen
Indicates that a physical structure is located on, along, or directly associated with a specific course or route.
-
E.
courseIncludes
Indicates that a course contains or covers a particular component, such as a topic, module, lesson, or resource.
- 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_69d8e8d7ad488190a3373045029b0f3b |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6338a22608190bb31a1690ca0dab6 |
completed | April 20, 2026, 2:09 p.m. |
| PD | Predicate disambiguation | batch_69e4fd6e806081909053f325ba01ab6b |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 1:38 p.m.