Triple
T26522223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Quentin Marathon |
E669986
|
entity |
| Predicate | startFinish |
P30490
|
FINISHED |
| Object | San Quentin prison yard |
—
|
NE NERFINISHED |
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: San Quentin prison yard | Statement: [San Quentin Marathon, startFinish, San Quentin prison yard]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startFinish Context triple: [San Quentin Marathon, startFinish, San Quentin prison yard]
-
A.
startFinishType
Indicates the specific way in which an activity, event, or process begins and/or ends (e.g., its initiation and completion characteristics).
-
B.
startFinishArea
chosen
Indicates a relationship where a defined area serves as both the starting point and the finishing point for an event, route, or activity.
-
C.
finishSetting
Indicates that an entity completes configuring or establishing a particular setting or set of settings for another entity or context.
-
D.
baseFinish
Indicates that one entity serves as the foundational or underlying finish or surface treatment upon which another finish or treatment is applied or built.
-
E.
finishOption
Indicates that one entity represents a way, method, or configuration by which another entity is completed, finalized, or brought to its end state.
- 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_69eeb31b6dcc8190b30632dc3928a0c0 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f757898fe48190b124dc7301672623 |
completed | May 3, 2026, 2:11 p.m. |
| PD | Predicate disambiguation | batch_69f754c484348190948d2a04ff228fb1 |
completed | May 3, 2026, 1:59 p.m. |
Created at: April 27, 2026, 1:28 a.m.