Triple
T13589375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bq |
E324650
|
entity |
| Predicate | isUsedWorldwide |
P11850
|
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: [Bq, isUsedWorldwide, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isUsedWorldwide Context triple: [Bq, isUsedWorldwide, true]
-
A.
usedWorldwide
chosen
Indicates that something is utilized or applied across many countries or regions around the world.
-
B.
internationalAvailability
Indicates that something is available or accessible across multiple countries or regions beyond a single national boundary.
-
C.
internationalUsage
Indicates that something is used or applied across multiple countries or in an international context.
-
D.
usedInCountryOrRegion
Indicates that something (such as an item, concept, or practice) is utilized or applied within a specified country or region.
-
E.
usedInCountries
Indicates that something is utilized or applied within one or more specified countries.
- 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_69d80769100c819099111274614f5ed2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb055cc98819091fab597b69e5e3e |
completed | April 12, 2026, 2:46 p.m. |
| PD | Predicate disambiguation | batch_69dbae18eaf48190809e8b365856cde9 |
completed | April 12, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:49 p.m.