Triple
T28929359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cerro Verde copper deposit |
E733737
|
entity |
| Predicate | secondaryCopperMinerals |
P192289
|
FINISHED |
| Object | chalcocite |
—
|
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: chalcocite | Statement: [Cerro Verde copper deposit, secondaryCopperMinerals, chalcocite]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondaryCopperMinerals Context triple: [Cerro Verde copper deposit, secondaryCopperMinerals, chalcocite]
-
A.
secondaryPigment
Indicates that one pigment functions as a secondary or supporting color relative to another primary pigment in a given context.
-
B.
secondaryCup
Indicates that one cup serves as a secondary or backup cup in relation to a primary cup.
-
C.
secondaryProducts
Indicates that certain entities arise as secondary or byproduct outputs from a primary process, activity, or production.
-
D.
secondaryOxidationStateInSolution
Indicates the oxidation state an element or species commonly adopts as a secondary (non-primary) state when dissolved in a given solution.
-
E.
secondaryCargo
Indicates that an entity serves as an additional or auxiliary cargo associated with a primary shipment or load.
- 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_69f05b0b49b08190b8994b339c7980f6 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69fd05ba6b2c81909c62b46237d10365 |
completed | May 7, 2026, 9:35 p.m. |
| PD | Predicate disambiguation | batch_69fd03039e48819082b6e12c5453885a |
completed | May 7, 2026, 9:24 p.m. |
| PDg | Predicate description generation | batch_69fd05b965608190a3666410b9f8e125 |
completed | May 7, 2026, 9:35 p.m. |
Created at: April 28, 2026, 8:26 a.m.