Triple
T945578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gorda Plate |
E20404
|
entity |
| Predicate | hasApproximateLocation |
P22067
|
FINISHED |
| Object | offshore of Cape Mendocino |
—
|
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: offshore of Cape Mendocino | Statement: [Gorda Plate, hasApproximateLocation, offshore of Cape Mendocino]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasApproximateLocation Context triple: [Gorda Plate, hasApproximateLocation, offshore of Cape Mendocino]
-
A.
hasApproximateCoordinates
Indicates that an entity is associated with location coordinates that are estimated or imprecise rather than exact.
-
B.
hasSatelliteLocation
Indicates that an entity has a secondary or remote location associated with it, such as a branch, satellite office, or auxiliary site.
-
C.
hasApproximateDistanceScale
Indicates that one entity is related to another by a distance measure that is approximate or estimated rather than exact.
-
D.
hasApproximateTransport
Indicates that one entity is connected to another by a transport option whose route, timing, or characteristics are similar to, but not exactly the same as, a referenced or ideal transport connection.
-
E.
hasDimensionsApprox
Indicates that an entity has physical dimensions that are known only approximately, rather than as exact measurements.
- 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_69a493b0f2fc81908cd227480a5356a1 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3a61b648190b1b6c932e047e161 |
completed | March 1, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69a4b29dc8dc8190b9d33f70f8563d61 |
completed | March 1, 2026, 9:41 p.m. |
| PDg | Predicate description generation | batch_69a4b344f6f48190ba03ce593c94176b |
completed | March 1, 2026, 9:44 p.m. |
Created at: March 1, 2026, 7:40 p.m.