Triple
T37504261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gallatin family |
E932050
|
entity |
| Predicate | languageOfAncestralOrigin |
P11719
|
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: [Gallatin family, languageOfAncestralOrigin, French]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfAncestralOrigin Context triple: [Gallatin family, languageOfAncestralOrigin, French]
-
A.
hasLinguisticHeritage
chosen
Indicates that one entity possesses or is associated with the linguistic background, tradition, or ancestry of another entity.
-
B.
hasLanguageOfOrigin
Indicates that one entity has its origin or source in the language specified by another entity.
-
C.
ethnicOrigin
Indicates the relationship where an entity is associated with a particular ethnic group or ancestry.
-
D.
languageOfAdoption
Indicates the language in which an adoption (e.g., of a text, standard, or practice) is formally made or recorded.
-
E.
laterLanguageOfFamily
Indicates that one language developed later in time within the same language family as another language.
- 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_69f76ec5268481909ea01c73aeeefd42 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a019b8995dc819088727aa023beadce |
completed | May 11, 2026, 9:04 a.m. |
| PD | Predicate disambiguation | batch_6a01961bb748819096a941f1b5443908 |
completed | May 11, 2026, 8:40 a.m. |
Created at: May 3, 2026, 4:17 p.m.