Triple
T26470425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portfolio of Priority Integration Projects |
E665883
|
entity |
| Predicate | coversCountries |
P98679
|
FINISHED |
| Object | Argentina |
—
|
NE NERFINISHED |
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: Argentina | Statement: [Portfolio of Priority Integration Projects, coversCountries, Argentina]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coversCountries Context triple: [Portfolio of Priority Integration Projects, coversCountries, Argentina]
-
A.
rangeCountries
Indicates the set of countries over which something (such as a service, product, or data coverage) is available, applicable, or valid.
-
B.
coveredCountry
chosen
Indicates that one entity includes or provides coverage for the territory or jurisdiction of a specified country.
-
C.
showCountry
Indicates that something displays or reveals information about a country.
-
D.
seeCountry
Indicates that one entity observes, visits, or becomes aware of a particular country.
-
E.
country2
Indicates a secondary or alternative country associated with an entity, such as a second nationality, location, or jurisdiction.
- 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_69ee883f80dc819090e311b022b78e02 |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f676c440708190a4b9974e95d2291a |
completed | May 2, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69f675fd59608190b246383435e68fce |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 27, 2026, 12:19 a.m.