Triple
T19956815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gooseneck |
E479704
|
entity |
| Predicate | courseSection |
P132796
|
FINISHED |
| Object | Mountain section of 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: Mountain section of Snaefell Mountain Course | Statement: [Gooseneck, courseSection, Mountain section of Snaefell Mountain Course]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: courseSection Context triple: [Gooseneck, courseSection, Mountain section of Snaefell Mountain Course]
-
A.
courseSectionOf
chosen
Indicates that one entity is a specific section or offering of a broader course.
-
B.
courseClass
Indicates that a particular course is classified as belonging to a specific academic class or category.
-
C.
coursePar
Indicates that two entities (such as paths, lines, or trajectories) run alongside each other in the same general direction without intersecting.
-
D.
courseStructure
Indicates how a course is organized into its constituent parts, such as modules, units, lessons, and their sequencing or hierarchy.
-
E.
course
Indicates that an entity is an academic class or unit of instruction offered within an educational program.
- 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_69d8e523c19881909f9197037200dde6 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65af08e008190a3a1b807b638a99e |
completed | April 20, 2026, 4:57 p.m. |
| PD | Predicate disambiguation | batch_69e537f7e4848190b431a69ec3f1b609 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:54 p.m.