Triple
T18325253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monterey Submarine Canyon |
E438986
|
entity |
| Predicate | closestPointToShore |
P64847
|
FINISHED |
| Object | within a few kilometers of the Monterey Bay shoreline |
—
|
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: within a few kilometers of the Monterey Bay shoreline | Statement: [Monterey Submarine Canyon, closestPointToShore, within a few kilometers of the Monterey Bay shoreline]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: closestPointToShore Context triple: [Monterey Submarine Canyon, closestPointToShore, within a few kilometers of the Monterey Bay shoreline]
-
A.
nearestMainlandPoint
chosen
Indicates the relationship where a location is associated with the closest point on the mainland to that location.
-
B.
stateOnNearestShore
Indicates that an entity is located on the shore that is geographically closest to another specified reference point or entity.
-
C.
hasNearbyCoast
Indicates that one location is situated close to a coastline or seashore.
-
D.
distanceFromCoast
Indicates the measured spatial separation between a location and the nearest point on a coastline.
-
E.
nearestSea
Indicates that one location is the closest sea to a given place compared to all other seas.
- 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_69d8b916a2d081909e249e4902f6aad9 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50aaa66ac819082ec718e8329e0cc |
completed | April 19, 2026, 5:02 p.m. |
| PD | Predicate disambiguation | batch_69e44fe4ee10819086b4142444fca1f5 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:36 a.m.