Triple
T5826632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bridge to Bridge rowing races |
E129241
|
entity |
| Predicate | typicalCourseDescription |
P11940
|
FINISHED |
| Object | between prominent bridges along Lake Burley Griffin |
—
|
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: between prominent bridges along Lake Burley Griffin | Statement: [Bridge to Bridge rowing races, typicalCourseDescription, between prominent bridges along Lake Burley Griffin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalCourseDescription Context triple: [Bridge to Bridge rowing races, typicalCourseDescription, between prominent bridges along Lake Burley Griffin]
-
A.
typicalCourse
chosen
Indicates that one entity is a standard or commonly taken course associated with another entity, such as a program, curriculum, or field of study.
-
B.
typicalCourseTopic
Indicates that a given topic is commonly or characteristically covered as part of a particular course.
-
C.
courseType
Indicates the classification or category of a course based on its nature, level, or instructional format.
-
D.
notableCourseType
Indicates that a course has a particular notable or distinguished type or classification (e.g., flagship, honors, or otherwise specially recognized).
-
E.
courseShape
Indicates the geometric layout or configuration that defines the path or outline of a course.
- 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_69c00849d55481908b4f9f5543e0bf6d |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c044ab0a048190b84be40fb13c0f50 |
completed | March 22, 2026, 7:36 p.m. |
| PD | Predicate disambiguation | batch_69c03341e5888190a5f219b6f92cb161 |
completed | March 22, 2026, 6:21 p.m. |
Created at: March 22, 2026, 3:53 p.m.