Triple
T8885845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Argentina Time |
E211527
|
entity |
| Predicate | IANARegionExample |
P719
|
FINISHED |
| Object | America/Argentina/Cordoba |
—
|
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: America/Argentina/Cordoba | Statement: [Argentina Time, IANARegionExample, America/Argentina/Cordoba]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: IANARegionExample Context triple: [Argentina Time, IANARegionExample, America/Argentina/Cordoba]
-
A.
IANATimeZoneIdentifierExample
chosen
Indicates that the relationship provides an example of an IANA time zone identifier corresponding to a given time zone or context.
-
B.
exampleZoneName
Indicates that an entity is associated with a zone identified by a specific example or placeholder name.
-
C.
isRegion
Indicates that one entity functions as a geographic or administrative region associated with another entity.
-
D.
isRegionOf
Indicates that one entity is a geographic or administrative region belonging to, contained within, or associated with another entity.
-
E.
definesRegionAs
Indicates that one entity specifies or designates another entity as a particular region or regional scope.
- 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.