Triple
T8885848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Argentina Time |
E211527
|
entity |
| Predicate | standardAbbreviationCommonlyUsed |
P36183
|
FINISHED |
| Object | ART |
—
|
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: ART | Statement: [Argentina Time, standardAbbreviationCommonlyUsed, ART]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: standardAbbreviationCommonlyUsed Context triple: [Argentina Time, standardAbbreviationCommonlyUsed, ART]
-
A.
isCommonAbbreviation
Indicates that one term is a widely used shortened or abbreviated form of another term.
-
B.
abbreviationUsedFor
chosen
Indicates that a particular shortened form or acronym is used to represent or stand in for a longer term, name, or expression.
-
C.
commonAbbreviationPlacement
Indicates that one form is commonly used as an abbreviation for another in typical writing or notation.
-
D.
usesAbbreviationIn
Indicates that an entity is referred to by an abbreviated form within a specified context, source, or representation.
-
E.
hasCommonAcronymUsage
Indicates that two terms share the same commonly used acronym in practice.
- 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_69ca838f9e20819096ab1f236a70381a |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc618bd30881909e54d0708f144786 |
completed | April 1, 2026, 12:06 a.m. |
| PD | Predicate disambiguation | batch_69cc5c2aec04819093c932fe51c0f08d |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:53 p.m.