Triple
T26522218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Quentin Marathon |
E669986
|
entity |
| Predicate | lapsRequired |
P160602
|
FINISHED |
| Object | dozens of laps around the prison yard |
—
|
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: dozens of laps around the prison yard | Statement: [San Quentin Marathon, lapsRequired, dozens of laps around the prison yard]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lapsRequired Context triple: [San Quentin Marathon, lapsRequired, dozens of laps around the prison yard]
-
A.
durationRequirement
Indicates that a specified action, process, or state must persist for at least a certain length of time to satisfy a condition or rule.
-
B.
pitStopsRequired
Indicates that a process, journey, or operation necessitates one or more scheduled pit stops to be completed.
-
C.
laps
Indicates that one entity moves around another entity or a course, typically completing a circuit or overtaking it.
-
D.
lapsLed
Indicates that one entity has led the field for a certain number of laps during a race or competitive event.
-
E.
transportRequirement
Indicates that a certain type or level of transportation is needed for an entity or activity to occur or be fulfilled.
- 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.