Triple
T32470221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bingham Canyon Mine |
E829827
|
entity |
| Predicate | hasWasteRockVolume |
P84054
|
FINISHED |
| Object | billions of tons of waste rock removed |
—
|
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: billions of tons of waste rock removed | Statement: [Bingham Canyon Mine, hasWasteRockVolume, billions of tons of waste rock removed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWasteRockVolume Context triple: [Bingham Canyon Mine, hasWasteRockVolume, billions of tons of waste rock removed]
-
A.
containsWasteFrom
Indicates that one entity holds, includes, or is contaminated by waste originating from another entity.
-
B.
excavatedVolume
chosen
Indicates the amount of material removed from a site or area as a result of an excavation activity.
-
C.
hasRockType
Indicates that an entity is composed of, characterized by, or associated with a specific type of rock.
-
D.
hasLog10ValueInCubicMetres
Indicates that an entity has a base-10 logarithmic value representing a volume measured in cubic metres.
-
E.
hasRockGrade
Indicates that an entity is associated with a specific difficulty or quality grade used to classify rock climbing routes or rock features.
- 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_69f3491ee87c81908cbf5890079c2af6 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f7886be6d8819095ec62e4f2cee858 |
completed | May 3, 2026, 5:39 p.m. |
| PD | Predicate disambiguation | batch_69f7841440f48190b4346c08855951d2 |
completed | May 3, 2026, 5:21 p.m. |
Created at: May 1, 2026, 12:57 a.m.