Triple
T2509756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | historical province of Champagne |
E52672
|
entity |
| Predicate | laterLanguage |
P4292
|
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: [historical province of Champagne, laterLanguage, French]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterLanguage Context triple: [historical province of Champagne, laterLanguage, French]
-
A.
otherLanguage
Indicates that an entity has or uses an additional language distinct from its primary or main language.
-
B.
languageShift
chosen
Indicates a change in the primary language used by an entity, such as switching from one language to another over time or in a given context.
-
C.
formerLanguage
Indicates that one entity was previously the language of another entity but is no longer in that role.
-
D.
languageBranch
Indicates that one language belongs to, or is classified under, a broader linguistic branch or subgroup.
-
E.
languageIntroduced
Indicates that a particular language was brought into use or made known within a certain context, time, or place.
- 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_69ab4958e76481908a235377dd921c9e |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd65d6a988190aaaac8e98540a14f |
completed | March 7, 2026, 7:40 a.m. |
| PD | Predicate disambiguation | batch_69abd0bd996c8190ba8b9d6e4333b8d4 |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:46 p.m.