Triple
T2517794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brunei dollar |
E55451
|
entity |
| Predicate | monetaryAuthorityEstablishedYear |
P40740
|
FINISHED |
| Object | 2011 |
—
|
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: 2011 | Statement: [Brunei dollar, monetaryAuthorityEstablishedYear, 2011]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: monetaryAuthorityEstablishedYear Context triple: [Brunei dollar, monetaryAuthorityEstablishedYear, 2011]
-
A.
denominationFounded
Indicates that one entity established or created a particular religious denomination.
-
B.
legalTenderSince
Indicates the point in time from which something has officially held the status of legal tender within a given jurisdiction.
-
C.
isLegalTenderSince
Indicates that something has held the status of legal tender starting from a specified point in time.
-
D.
nationalisationYear
Indicates the year in which an entity was taken into state ownership or control through nationalisation.
-
E.
firstSeriesBanknotesIntroduced
Indicates the time or event when the initial series of banknotes for a currency or issuer was first put into circulation.
- 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_69ab49e4749c8190813311efd1630f1b |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd5a33234819082ad49fa6594b6be |
completed | March 7, 2026, 7:37 a.m. |
| PD | Predicate disambiguation | batch_69abd0bf37c0819088d28b5081ba7556 |
completed | March 7, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69abd5a1cd508190a660b9a3c6b7cbcb |
completed | March 7, 2026, 7:37 a.m. |
Created at: March 6, 2026, 9:46 p.m.