Triple
T11566615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint-Exupéry: A Biography |
E274268
|
entity |
| Predicate | subjectNationalityCovered |
P43801
|
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: [Saint-Exupéry: A Biography, subjectNationalityCovered, French]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subjectNationalityCovered Context triple: [Saint-Exupéry: A Biography, subjectNationalityCovered, French]
-
A.
nationalityInCoverIdentity
Indicates that an entity’s assumed or cover identity is associated with a particular nationality.
-
B.
includedNationality
Indicates that one entity’s set of nationalities contains or encompasses the nationality of another entity.
-
C.
appliesToPersonNationality
Indicates that something is relevant or applicable specifically to a person’s nationality.
-
D.
workSubjectNationality
chosen
Indicates that the subject of a work has a specified nationality.
-
E.
ownerNationality
Indicates that the owner of an entity has the specified 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_69d6aae5ac3c81908d2b0a3a665665b2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d88dd4305c8190ac5ff490b6b63e12 |
completed | April 10, 2026, 5:42 a.m. |
| PD | Predicate disambiguation | batch_69d85dc3fc2c8190bed7e2111301a77c |
completed | April 10, 2026, 2:17 a.m. |
Created at: April 8, 2026, 9:37 p.m.