Triple
T34568591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nao-mi |
E887559
|
entity |
| Predicate | usedInternationally |
P89043
|
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: [Nao-mi, usedInternationally, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedInternationally Context triple: [Nao-mi, usedInternationally, true]
-
A.
usedWorldwide
Indicates that something is utilized or applied across many countries or regions around the world.
-
B.
usedWorldwideBy
Indicates that something is utilized or adopted by people or organizations across many countries around the world.
-
C.
internationalUsage
chosen
Indicates that something is used or applied across multiple countries or in an international context.
-
D.
usedByOtherCountries
Indicates that something (such as a method, resource, or technology) is utilized or adopted by countries other than the one primarily associated with it.
-
E.
isConsumedWorldwide
Indicates that something is eaten or used by people across many different countries or regions around the world.
- 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_69f349d1a5fc81908557a46875b2f157 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fe9dfaa2d08190b2084f63f842eb6b |
completed | May 9, 2026, 2:37 a.m. |
| PD | Predicate disambiguation | batch_69fe9bba947c81908b0b2b92a4d19b37 |
completed | May 9, 2026, 2:28 a.m. |
Created at: May 1, 2026, 2:02 a.m.