Triple
T566973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Marathon Majors |
E13573
|
entity |
| Predicate | typeOfCourse |
P7752
|
FINISHED |
| Object | road 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: road course | Statement: [World Marathon Majors, typeOfCourse, road course]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfCourse Context triple: [World Marathon Majors, typeOfCourse, road course]
-
A.
courseType
chosen
Indicates the classification or category of a course based on its nature, level, or instructional format.
-
B.
typicalCourse
Indicates that one entity is a standard or commonly taken course associated with another entity, such as a program, curriculum, or field of study.
-
C.
course
Indicates that an entity is an academic class or unit of instruction offered within an educational program.
-
D.
offersCourseType
Indicates that an entity provides or makes available a course of a specified type.
-
E.
isTaughtAs
Indicates that something is presented or delivered as instructional content, typically within an educational or training context.
- 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_69a4933edcf08190b35ecfd6014caee6 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49b01aca48190944408d066519149 |
completed | March 1, 2026, 8:01 p.m. |
| PD | Predicate disambiguation | batch_69a494c183b081909304944aa3d0fe8f |
completed | March 1, 2026, 7:34 p.m. |
Created at: March 1, 2026, 7:33 p.m.