Triple
T31913213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charollais |
E814746
|
entity |
| Predicate | belongsToLanguageCategory |
P196080
|
FINISHED |
| Object | French gentilés |
—
|
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 gentilés | Statement: [Charollais, belongsToLanguageCategory, French gentilés]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToLanguageCategory Context triple: [Charollais, belongsToLanguageCategory, French gentilés]
-
A.
belongsToLinguisticType
chosen
Indicates that something is classified as or associated with a particular linguistic type or category.
-
B.
belongsToCatalogOf
Indicates that one item is included within, or is a member of, a particular catalog or collection.
-
C.
linkedToLanguage
Indicates that an entity has an association or connection with a specific language, such as being expressed in, related to, or dependent on that language.
-
D.
hasLanguageGroup
Indicates that an entity belongs to, is associated with, or is categorized under a particular language group.
-
E.
hasRelatedLanguage
Indicates that one language is related to another through shared linguistic origins, features, or classification.
- 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_69f348f109d88190b5005372c53d2fcd |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69feaa483fcc81909d8a46b38a8717bf |
completed | May 9, 2026, 3:30 a.m. |
| PD | Predicate disambiguation | batch_69fea8c9d45c81908ccc8619e5fefac1 |
completed | May 9, 2026, 3:23 a.m. |
Created at: May 1, 2026, 12:01 a.m.