Triple
T24269462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Windows Western European |
E605236
|
entity |
| Predicate | containsEuroSign |
P155389
|
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: [Windows Western European, containsEuroSign, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsEuroSign Context triple: [Windows Western European, containsEuroSign, true]
-
A.
euroYear
Indicates the specific year in which something is associated with, denominated in, or relevant to the euro currency.
-
B.
euroTitle
Indicates that an entity holds or is associated with a European title, such as a championship, honor, or official designation within a European context.
-
C.
isNotEuroMemberCurrency
Indicates that a currency does not belong to the group of official currencies used by member countries of the Eurozone.
-
D.
adoptedEuro
Indicates that a country or entity has officially adopted the euro as its legal currency.
-
E.
notAllEUMembersUseEuro
Indicates that the set of all EU member states is not identical to the set of countries using the euro, i.e., at least one EU member does not use the euro as its official currency.
- 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_69e2954707dc8190915551eb114cfff6 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f28d58666881909f28f4d4f0f7d590 |
completed | April 29, 2026, 10:59 p.m. |
| PD | Predicate disambiguation | batch_69f1c450aa508190bc9d372a5f6ee47a |
completed | April 29, 2026, 8:41 a.m. |
| PDg | Predicate description generation | batch_69f1c6d4e99081909f61899eccafb73e |
completed | April 29, 2026, 8:52 a.m. |
Created at: April 18, 2026, 12:07 a.m.