Triple
T26522243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Quentin Marathon |
E669986
|
entity |
| Predicate | courseConstraints |
P160603
|
FINISHED |
| Object | confined to secure prison yard perimeter |
—
|
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: confined to secure prison yard perimeter | Statement: [San Quentin Marathon, courseConstraints, confined to secure prison yard perimeter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: courseConstraints Context triple: [San Quentin Marathon, courseConstraints, confined to secure prison yard perimeter]
-
A.
courseCondition
Indicates the prerequisite or required conditions that must be satisfied for a course to be taken or considered valid.
-
B.
disciplinaryRequirement
Indicates that one entity imposes or specifies a disciplinary condition, rule, or obligation that another entity must satisfy.
-
C.
academicProgressRequirements
Indicates the conditions or standards a student must meet to maintain satisfactory academic progress within a program or institution.
-
D.
completionAsAcademicRequirementFor
Indicates that completing one entity is required to fulfill an academic requirement associated with another entity.
-
E.
courseSelection
Indicates a relationship where an individual chooses or enrolls in a particular course from a set of available options.
- 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_69eeb31b6dcc8190b30632dc3928a0c0 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f613c35b5481909ef85d87d1604be9 |
completed | May 2, 2026, 3:09 p.m. |
| PD | Predicate disambiguation | batch_69f602d7b1b0819095ddd3b5169f8ce2 |
completed | May 2, 2026, 1:57 p.m. |
| PDg | Predicate description generation | batch_69f6037bf7a081908862a8359be80cf8 |
completed | May 2, 2026, 2 p.m. |
Created at: April 27, 2026, 1:28 a.m.