Triple
T20203423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barbudan |
E493283
|
entity |
| Predicate | hasNationalityCode |
P58226
|
FINISHED |
| Object | ATG |
—
|
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: ATG | Statement: [Barbudan, hasNationalityCode, ATG]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNationalityCode Context triple: [Barbudan, hasNationalityCode, ATG]
-
A.
hasNationalityRecord
Indicates that there exists an official record documenting an entity's nationality or national affiliation.
-
B.
hasNationalLocationCode
chosen
Indicates that an entity is associated with a specific national location code that identifies its location within a country’s coding system.
-
C.
bearerNationality
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.
hasNationalIdentity
Indicates that an entity possesses or is associated with a particular national identity or nationality.
- 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_69da6269614c8190bb40475d9d477358 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66d8f90108190b72e37c0056de0f8 |
completed | April 20, 2026, 6:16 p.m. |
| PD | Predicate disambiguation | batch_69e55b14c9d8819095453d0504d9222f |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 11, 2026, 11:38 p.m.