Triple
T2012046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Open Championship |
E43708
|
entity |
| Predicate | courseRotationName |
P34469
|
FINISHED |
| Object | Open rota |
—
|
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: Open rota | Statement: [The Open Championship, courseRotationName, Open rota]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: courseRotationName Context triple: [The Open Championship, courseRotationName, Open rota]
-
A.
rotatesAmong
Indicates that an entity takes turns occupying or performing a role, position, or function in sequence with other entities.
-
B.
courseName
Indicates the specific name or title assigned to a course in an educational context.
-
C.
openRotationCourse
Indicates that an entity offers or makes available a rotation-based course for participation or enrollment.
-
D.
courseDirection
Indicates the orientation or path that something follows or is intended to follow, such as the direction of movement, flow, or progression.
-
E.
courseSetting
Indicates the context or environment in which a course is delivered or conducted.
- F. None of above. chosen
Provenance (4 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_69a88716e9f08190946313fdc949e3cf |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb8b2ed6c8190ad51f0af90db2a02 |
completed | March 7, 2026, 5:33 a.m. |
| PD | Predicate disambiguation | batch_69abb7a03a1c81909ad50d56667db2d5 |
completed | March 7, 2026, 5:29 a.m. |
| PDg | Predicate description generation | batch_69abb83e7888819096dc40275c77daff |
completed | March 7, 2026, 5:31 a.m. |
Created at: March 4, 2026, 7:37 p.m.