Triple
T13937154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yvain |
E335147
|
entity |
| Predicate | nationalityInTradition |
P34270
|
FINISHED |
| Object | British |
—
|
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: British | Statement: [Yvain, nationalityInTradition, British]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nationalityInTradition Context triple: [Yvain, nationalityInTradition, British]
-
A.
hasNationalityTraditionally
chosen
Indicates that an entity is traditionally or historically associated with a particular nationality, regardless of current legal or formal citizenship status.
-
B.
ethnicityInTradition
Indicates that a particular ethnicity is associated with, represented in, or plays a role within a specified cultural or religious tradition.
-
C.
countryOfNamingTradition
Indicates the country whose cultural or linguistic naming conventions are used to form or interpret a given name.
-
D.
traditionalCountry
Indicates that a country is characterized by long-established customs, cultural practices, and social norms that have been preserved over time.
-
E.
nationalityTheme
Indicates that an entity is thematically associated with, or centrally involves, a particular nationality or country.
- 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_69d81c5f739081908bc05b2461f54828 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2cf42878819085146670d7b92605 |
completed | April 14, 2026, 12:03 p.m. |
| PD | Predicate disambiguation | batch_69dbc873052c8190b33ff7f7c5a4e7ee |
completed | April 12, 2026, 4:29 p.m. |
Created at: April 9, 2026, 10:17 p.m.