Triple
T24761951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swansea copper industry |
E619469
|
entity |
| Predicate | peakGlobalShareOfCopperSmelting |
P157101
|
FINISHED |
| Object | over 60 percent |
—
|
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: over 60 percent | Statement: [Swansea copper industry, peakGlobalShareOfCopperSmelting, over 60 percent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: peakGlobalShareOfCopperSmelting Context triple: [Swansea copper industry, peakGlobalShareOfCopperSmelting, over 60 percent]
-
A.
smelterClosed
Indicates that a smelting facility has ceased operations, either temporarily or permanently.
-
B.
historicallySuppliedOreTo
Indicates that one entity provided ore to another entity as a supplier during a past historical period.
-
C.
hasSmelterAgreementWith
Indicates that one party is contractually bound to process or refine another party’s raw materials through a smelting agreement.
-
D.
typeOfMineralProduced
Indicates that a specified mineral is produced or extracted as a result of a particular process, operation, or source.
-
E.
typicalValueForMetals
Indicates the characteristic or commonly observed value of a given property specifically for metals.
- 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_69e2fabbea94819092ed41348909622f |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f410a25ab88190a72db43043c1f6ff |
completed | May 1, 2026, 2:32 a.m. |
| PD | Predicate disambiguation | batch_69f40ef612c88190ab2f3f08d4a92018 |
completed | May 1, 2026, 2:24 a.m. |
| PDg | Predicate description generation | batch_69f410a001788190a457e41f53aaf90c |
completed | May 1, 2026, 2:32 a.m. |
Created at: April 18, 2026, 4:27 a.m.