Triple
T25053477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Russell Kippax |
E627449
|
entity |
| Predicate | continentOfNotableAscent |
P113758
|
FINISHED |
| Object | Oceania |
—
|
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: Oceania | Statement: [Russell Kippax, continentOfNotableAscent, Oceania]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: continentOfNotableAscent Context triple: [Russell Kippax, continentOfNotableAscent, Oceania]
-
A.
includesHighestMountainOutsideAsia
Indicates that the referenced geographic region contains the tallest mountain located outside the continent of Asia.
-
B.
notableClimbRegion
chosen
Indicates that a climbing route, ascent, or climber is notably associated with a particular geographic climbing region.
-
C.
alternativePeakForContinent
Indicates that a given peak is recognized as an alternative highest point for a specified continent, typically due to differing criteria or measurement standards.
-
D.
countryOfHighestPoint
Indicates the country within whose territory a given location’s highest elevation point is found.
-
E.
continentReference
Indicates that one entity serves as a reference or pointer to a specific continent associated with another entity.
- 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_69e2ff2c45f48190afa28369f1df6786 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f606c79ad081908369605f72e65ca6 |
completed | May 2, 2026, 2:14 p.m. |
| PD | Predicate disambiguation | batch_69f602ce79ec8190b8336c2b9de18ac7 |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 18, 2026, 6:09 a.m.