Triple
T35437637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Papua New Guinea |
E1024252
|
entity |
| Predicate | countryCodeISO3166-1 alpha-2 |
—
|
GENERATED |
| Object | PG |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryCodeISO3166-1 alpha-2 Context triple: [Papua New Guinea, countryCodeISO3166-1 alpha-2, PG]
-
A.
countryCode2
chosen
Indicates that an entity is associated with a specific two-letter country code (ISO 3166-1 alpha-2).
-
B.
countryCode3
Indicates that an entity is associated with a specific three-letter (ISO 3166-1 alpha-3) country code.
-
C.
ISOCode
Indicates that an entity is associated with a specific standardized code defined by the International Organization for Standardization (ISO).
-
D.
ISO3166-1Code
Indicates the standardized two- or three-letter country or territory code assigned under the ISO 3166-1 international standard.
-
E.
continentCode
Indicates the standardized code assigned to the continent with which an entity is associated.
- F. None of above.
Provenance (1 batch)
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_69f76df743c48190aecb6dd79efb0d95 |
completed | May 3, 2026, 3:47 p.m. |
Created at: May 3, 2026, 4:04 p.m.