Triple
T3450253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zhemchug Canyon |
E72775
|
entity |
| Predicate | hasSedimentProcesses |
P9691
|
FINISHED |
| Object | turbidity currents |
—
|
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: turbidity currents | Statement: [Zhemchug Canyon, hasSedimentProcesses, turbidity currents]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSedimentProcesses Context triple: [Zhemchug Canyon, hasSedimentProcesses, turbidity currents]
-
A.
hasSedimentsThat
Indicates that one entity contains, includes, or is associated with specific sediments described by the related entity.
-
B.
hasSedimentLoad
Indicates that one entity (typically a water body or flow) carries or transports a certain amount or type of sediment associated with another entity.
-
C.
typeOfSedimentation
chosen
Indicates the specific kind or process of sediment deposition or settling that characterizes how sediment accumulates in a given context.
-
D.
sedimentSource
Indicates that one entity serves as the origin or provider of sediment that is transported to or deposited in another entity.
-
E.
geomorphologicalProcess
Indicates a relationship where one entity undergoes or is shaped by natural earth-surface processes that modify landforms and terrain structure.
- 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_69ad85b05c848190b7a28ceec2bd7b74 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adba7324508190b07943cec3ecdb59 |
completed | March 8, 2026, 6:05 p.m. |
| PD | Predicate disambiguation | batch_69adae0255b48190a9069f7871c7a012 |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:16 p.m.