Triple
T38162158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Les Cahiers de droit |
E953045
|
entity |
| Predicate | targetLanguageCommunity |
P5562
|
FINISHED |
| Object | French-speaking legal community |
—
|
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-speaking legal community | Statement: [Les Cahiers de droit, targetLanguageCommunity, French-speaking legal community]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetLanguageCommunity Context triple: [Les Cahiers de droit, targetLanguageCommunity, French-speaking legal community]
-
A.
laterLanguageOfCommunity
Indicates that one language developed later in time as the language used by a particular community, succeeding an earlier community language.
-
B.
hasLanguageCommunity
chosen
Indicates that an entity is associated with or serves a particular language community.
-
C.
targetsLanguage
Indicates that an action, resource, or entity is specifically directed toward, designed for, or intended to be used with a particular language.
-
D.
formerLanguageCommunity
Indicates that a group or community previously used a particular language but no longer does so.
-
E.
targetLanguage
Indicates the language that is the intended recipient or focus of a communication, translation, or linguistic operation.
- 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_69f76f0b93c48190a117319ab3a9f282 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69ff5803c02c81908b63067119f5e684 |
completed | May 9, 2026, 3:51 p.m. |
| PD | Predicate disambiguation | batch_69ff576d8b308190b49a1e072a0ae661 |
completed | May 9, 2026, 3:49 p.m. |
Created at: May 3, 2026, 4:21 p.m.