Triple
T12196169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barrier Ranges |
E290589
|
entity |
| Predicate | hasOreDepositType |
P64308
|
FINISHED |
| Object | base metals |
—
|
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: base metals | Statement: [Barrier Ranges, hasOreDepositType, base metals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOreDepositType Context triple: [Barrier Ranges, hasOreDepositType, base metals]
-
A.
hasMiningCommodity
chosen
Indicates that an entity is associated with, produces, or contains a specific mining-related commodity.
-
B.
hasMineral
Indicates that one entity contains, includes, or is composed of a specified mineral.
-
C.
hasDuneType
Indicates that one entity is characterized by or associated with a specific type or classification of dune.
-
D.
hasGeologicResource
Indicates that an entity possesses, contains, or is associated with a particular geologic resource.
-
E.
hasImportantMineral
Indicates that an entity contains or is associated with a mineral considered significant or valuable in a given context.
- 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_69d6ab64de5881908d56eb7a75c6cc69 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d938cd2edc8190b1971349dbc0dee0 |
completed | April 10, 2026, 5:52 p.m. |
| PD | Predicate disambiguation | batch_69d91c38321c819080d500d0d64a04f6 |
completed | April 10, 2026, 3:50 p.m. |
Created at: April 8, 2026, 9:50 p.m.