Triple
T16516945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kain Route |
E401207
|
entity |
| Predicate | isOnFaceOfMountain |
P73665
|
FINISHED |
| Object | south face of Mount Robson |
—
|
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: south face of Mount Robson | Statement: [Kain Route, isOnFaceOfMountain, south face of Mount Robson]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOnFaceOfMountain Context triple: [Kain Route, isOnFaceOfMountain, south face of Mount Robson]
-
A.
isOnHill
Indicates that one entity is located on or atop a hill relative to another reference frame or context.
-
B.
sideOfMountain
chosen
Indicates that one entity is located on or corresponds to a particular side or face of a mountain relative to another entity.
-
C.
operatesOnMountain
Indicates that an entity performs operations, activities, or functions on or in relation to a mountain.
-
D.
hasSummitOnSideOf
Indicates that the summit or highest point of one geographic feature is located on the side of another feature.
-
E.
hasMountain
Indicates that a location or region possesses or contains at least one mountain.
- 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_69d883838abc8190bc79cb2d41733ce2 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e7c7e588190acbcc2b807a98909 |
completed | April 18, 2026, 7:10 a.m. |
| PD | Predicate disambiguation | batch_69e296995d388190b88ebe189dce890d |
completed | April 17, 2026, 8:22 p.m. |
Created at: April 10, 2026, 5:14 a.m.