Triple
T38492317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rand goldfields |
E918084
|
entity |
| Predicate | currencyNameInfluence |
P94040
|
FINISHED |
| Object | South African rand |
—
|
NE NERFINISHED |
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: South African rand | Statement: [Rand goldfields, currencyNameInfluence, South African rand]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currencyNameInfluence Context triple: [Rand goldfields, currencyNameInfluence, South African rand]
-
A.
currencyInfluence
Indicates how one currency affects the value, stability, or behavior of another currency or an economic system.
-
B.
influencedCurrencyName
chosen
Indicates that one currency has affected or shaped the value, status, or characteristics of another currency.
-
C.
currencyType
Indicates the specific kind of monetary unit or currency associated with an entity or transaction.
-
D.
currency
Indicates that one entity serves as the medium of exchange or monetary unit used by another entity (such as a country, region, or system).
-
E.
currencyProject
Indicates a relationship where a project is associated with, uses, or is denominated in a particular currency.
- 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_69f76e9894208190a129a553a60ca58c |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69ffe23081408190a121d901dbce1403 |
completed | May 10, 2026, 1:41 a.m. |
| PD | Predicate disambiguation | batch_69ffe18aed348190912a5996b2da728b |
completed | May 10, 2026, 1:38 a.m. |
Created at: May 3, 2026, 4:31 p.m.