Triple
T12333675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | .ai |
E294025
|
entity |
| Predicate | isGenericUseBeyondCountry |
P104548
|
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: [.ai, isGenericUseBeyondCountry, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isGenericUseBeyondCountry Context triple: [.ai, isGenericUseBeyondCountry, true]
-
A.
usedForCountry
Indicates that something is used for, or serves a purpose related to, a specific country.
-
B.
usedInCountryOrRegion
Indicates that something (such as an item, concept, or practice) is utilized or applied within a specified country or region.
-
C.
notUsedInCountry
Indicates that a given item, resource, or entity is not utilized, applied, or in operation within a specified country.
-
D.
usedInCountry
Indicates that something is utilized, applied, or in operation within the specified country.
-
E.
mayBeUsedOffLabelFor
Indicates that something (typically a drug or treatment) can be used for a purpose or condition other than its officially approved or intended use.
- 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_69d6ab6ae0dc8190b1522a9c1c55c114 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f64ad20819080d99e57833b4b51 |
completed | April 10, 2026, 6:20 p.m. |
| PD | Predicate disambiguation | batch_69d93ecb5efc819086a3530282278bb1 |
completed | April 10, 2026, 6:17 p.m. |
| PDg | Predicate description generation | batch_69d93f607a88819089e89fd263ae9937 |
completed | April 10, 2026, 6:20 p.m. |
Created at: April 8, 2026, 9:53 p.m.