Triple
T17154617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | euro |
E416311
|
entity |
| Predicate | cashIntroducedOn |
P35672
|
FINISHED |
| Object | 2002-01-01 |
—
|
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: 2002-01-01 | Statement: [euro, cashIntroducedOn, 2002-01-01]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cashIntroducedOn Context triple: [euro, cashIntroducedOn, 2002-01-01]
-
A.
isLegalTenderSince
Indicates that something has held the status of legal tender starting from a specified point in time.
-
B.
hasBanknotes
Indicates that an entity possesses or contains one or more banknotes.
-
C.
firstSeriesBanknotesIntroduced
chosen
Indicates the time or event when the initial series of banknotes for a currency or issuer was first put into circulation.
-
D.
legalTenderSince
Indicates the point in time from which something has officially held the status of legal tender within a given jurisdiction.
-
E.
MoneyInTheBankCashInType
Indicates the manner or category of how a Money in the Bank contract is cashed in (e.g., timing, conditions, or style of the cash-in event).
- 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_69d886d279c081909f8ff1f743ddeb69 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f40a6b7c8190838e588c4fd81d95 |
completed | April 18, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69e3830d2a90819092386717dc56f0e8 |
completed | April 18, 2026, 1:11 p.m. |
Created at: April 10, 2026, 5:37 a.m.