Triple
T12097290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peruvian passport |
E288101
|
entity |
| Predicate | nationalityCode |
P25217
|
FINISHED |
| Object | PER |
—
|
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: PER | Statement: [Peruvian passport, nationalityCode, PER]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nationalityCode Context triple: [Peruvian passport, nationalityCode, PER]
-
A.
nativeCountry
Indicates the country in which an entity (typically a person) was born or is originally from.
-
B.
nationalityInText
Indicates that a person's nationality is mentioned or specified within a given text.
-
C.
bearerNationality
chosen
Indicates that one entity is the country or nationality associated with the bearer of another entity, such as a document or credential.
-
D.
userNationality
Indicates that a user has a specific national affiliation or citizenship.
-
E.
parentCountryCode
Indicates that the value is the standardized country code of the country that has jurisdiction or primary association over the referenced entity.
- 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_69d6ab4964708190850585628b287b0c |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9178ad99c8190a54777b9bbe998bc |
completed | April 10, 2026, 3:30 p.m. |
| PD | Predicate disambiguation | batch_69d915000454819089fee00022055599 |
completed | April 10, 2026, 3:19 p.m. |
Created at: April 8, 2026, 9:48 p.m.