Triple
T29754919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lyria |
E753002
|
entity |
| Predicate | hasOperatorNationality |
P38659
|
FINISHED |
| Object | French |
—
|
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: French | Statement: [Lyria, hasOperatorNationality, French]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOperatorNationality Context triple: [Lyria, hasOperatorNationality, French]
-
A.
hasOwnerNationalityStereotype
Indicates that an entity is associated with a stereotype about the nationality of its owner.
-
B.
hasParticipantNationality
Indicates that a participant in an event, activity, or relation has a specific nationality.
-
C.
isByNationality
Indicates that one entity has a specified nationality or originates from the country represented by the other entity.
-
D.
operatorNationality
chosen
Indicates that an operator has a specific national affiliation or country of origin.
-
E.
appliesToPersonNationality
Indicates that something is relevant or applicable specifically to a person’s 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_69f0d62c84cc8190846f80ae04fdf8ec |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f727afd5d88190ad48735cd1b32787 |
completed | May 3, 2026, 10:47 a.m. |
| PD | Predicate disambiguation | batch_69f72737c42c8190a3f781a5e98868ff |
completed | May 3, 2026, 10:45 a.m. |
Created at: April 28, 2026, 7:56 p.m.