Triple
T14380205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cato Reef |
E356578
|
entity |
| Predicate | distanceFromLand |
P5691
|
FINISHED |
| Object | far offshore from the Australian mainland |
—
|
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: far offshore from the Australian mainland | Statement: [Cato Reef, distanceFromLand, far offshore from the Australian mainland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromLand Context triple: [Cato Reef, distanceFromLand, far offshore from the Australian mainland]
-
A.
distanceFromCoast
Indicates the measured spatial separation between a location and the nearest point on a coastline.
-
B.
distanceFromMainland
chosen
Indicates the measured spatial separation between a location and the nearest point on the mainland.
-
C.
distanceToPacificOcean
Indicates the physical distance between a given location or entity and the Pacific Ocean.
-
D.
hasNearbyCoast
Indicates that one location is situated close to a coastline or seashore.
-
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_69d8279163a081908aec45c0e3f1e02f |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de900bbfb08190a1e56f281a2374c0 |
completed | April 14, 2026, 7:05 p.m. |
| PD | Predicate disambiguation | batch_69de2a9cb3e081909f6b33fdd939bb9e |
completed | April 14, 2026, 11:53 a.m. |
Created at: April 10, 2026, 1:16 a.m.