Triple
T35010907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nuka-Cola bottle cap |
E1009936
|
entity |
| Predicate | primaryCurrencyIn |
P78277
|
FINISHED |
| Object | post-apocalyptic United States (Fallout) |
—
|
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: post-apocalyptic United States (Fallout) | Statement: [Nuka-Cola bottle cap, primaryCurrencyIn, post-apocalyptic United States (Fallout)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryCurrencyIn Context triple: [Nuka-Cola bottle cap, primaryCurrencyIn, post-apocalyptic United States (Fallout)]
-
A.
primaryListingCurrency
Indicates the currency in which an asset, security, or item is primarily listed or denominated for trading or reference.
-
B.
localCurrency
chosen
Indicates that a particular currency is officially used or recognized as the standard medium of exchange within a specific locality, region, or country.
-
C.
currencyGiven
Indicates that one entity transfers or provides money or a monetary unit to another entity.
-
D.
previousCurrency
Indicates that one currency served as the predecessor or was replaced by another currency in a monetary system or sequence.
-
E.
currencyType
Indicates the specific kind of monetary unit or currency associated with an entity or transaction.
- 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_69f76dcc3ac8819096a3ed52f5fa2523 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379ff1ba081908eda86acefcf69fb |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:01 p.m.