Triple
T20587783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colca River |
E505830
|
entity |
| Predicate | hasCanyonDepthRank |
P140672
|
FINISHED |
| Object | among deepest canyons in the world |
—
|
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: among deepest canyons in the world | Statement: [Colca River, hasCanyonDepthRank, among deepest canyons in the world]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCanyonDepthRank Context triple: [Colca River, hasCanyonDepthRank, among deepest canyons in the world]
-
A.
containsCanyon
Indicates that one geographic or spatial entity includes a canyon within its boundaries or extent.
-
B.
hasCanyonType
Indicates that an entity is characterized by, or classified as having, a specific type or category of canyon.
-
C.
isInCanyon
Indicates that an entity is located within the geographical bounds of a canyon.
-
D.
elevationRelativeToCanyon
Indicates the relative height or altitude of one location compared to the canyon’s reference level.
-
E.
elevationRelativeToCanyonFloor
Indicates the vertical height or altitude of something measured relative to the canyon floor as the reference level.
- 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_69e0b4b9669c8190b8e81fc72817d42c |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a9790cc08190b48949834cd421d2 |
completed | April 20, 2026, 10:32 p.m. |
| PD | Predicate disambiguation | batch_69e59fffe1748190825e4eaa90340631 |
completed | April 20, 2026, 3:39 a.m. |
| PDg | Predicate description generation | batch_69e5a6a9f3f88190b961db9aca36f7da |
completed | April 20, 2026, 4:08 a.m. |
Created at: April 16, 2026, 11:40 a.m.