Triple
T13809838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clipperton Island |
E331857
|
entity |
| Predicate | distanceToNearestMainland |
P5691
|
FINISHED |
| Object | over 1,000 kilometers from the Mexican coast |
—
|
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: over 1,000 kilometers from the Mexican coast | Statement: [Clipperton Island, distanceToNearestMainland, over 1,000 kilometers from the Mexican coast]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToNearestMainland Context triple: [Clipperton Island, distanceToNearestMainland, over 1,000 kilometers from the Mexican coast]
-
A.
distanceFromMainland
chosen
Indicates the measured spatial separation between a location and the nearest point on the mainland.
-
B.
nearestMainlandPoint
Indicates the relationship where a location is associated with the closest point on the mainland to that location.
-
C.
distanceFromCoast
Indicates the measured spatial separation between a location and the nearest point on a coastline.
-
D.
distanceToPacificOcean
Indicates the physical distance between a given location or entity and the Pacific Ocean.
-
E.
distanceToContinentApproximate
Indicates an approximate measure of how far something is from a specified continent.
- 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_69d81c59f8808190a851bc56afdc55e9 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de026ff6b481908066d6bf27064417 |
completed | April 14, 2026, 9:01 a.m. |
| PD | Predicate disambiguation | batch_69dbc862e9608190bd8a3d883959b7e4 |
completed | April 12, 2026, 4:29 p.m. |
Created at: April 9, 2026, 10:12 p.m.