Triple
T22239414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DB1 |
E549679
|
entity |
| Predicate | isEurozoneListing |
P69965
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [DB1, isEurozoneListing, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isEurozoneListing Context triple: [DB1, isEurozoneListing, true]
-
A.
locatedInEurozone
Indicates that the subject entity is situated within the geographic or economic area of the Eurozone.
-
B.
eurozoneMember
Indicates that an entity is a country that belongs to the Eurozone, i.e., it uses the euro as its official currency within the European Union’s monetary union.
-
C.
isNotEuroMemberCurrency
Indicates that a currency does not belong to the group of official currencies used by member countries of the Eurozone.
-
D.
euroParticipation
chosen
Indicates that an entity takes part in or is involved with the Euro currency system or Eurozone monetary framework.
-
E.
isCFAFrancZoneCurrency
Indicates that a currency is officially used within the CFA franc monetary zone.
- 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_69e11e4102b881909cf47d3768e25c19 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f132133b908190b0fb32a5ee68e1e6 |
completed | April 28, 2026, 10:17 p.m. |
| PD | Predicate disambiguation | batch_69e71b5177d881908f90abde14ada7dc |
completed | April 21, 2026, 6:38 a.m. |
Created at: April 16, 2026, 8:38 p.m.