Triple
T8199267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Université de Hearst |
E191525
|
entity |
| Predicate | campusLanguagePolicy |
P73903
|
FINISHED |
| Object | French-language environment |
—
|
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-language environment | Statement: [Université de Hearst, campusLanguagePolicy, French-language environment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: campusLanguagePolicy Context triple: [Université de Hearst, campusLanguagePolicy, French-language environment]
-
A.
languageAcademyPolicy
Indicates a policy or set of rules established by a language academy regarding language use, standards, or regulation.
-
B.
hasOfficialLanguagePolicy
Indicates that there exists a formally adopted rule or set of rules governing the use, status, or regulation of one or more languages within a given context or jurisdiction.
-
C.
campusUse
Indicates that something is intended for, associated with, or occurring in the use or activities of a campus or campus community.
-
D.
governsCampus
Indicates that one entity has administrative or authoritative control over the operations and policies of a campus.
-
E.
languagePolicyType
chosen
Indicates the specific category or type of language policy that governs how languages are used, managed, or regulated in a given context.
- 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_69ca82c6e9548190a4c5ca14516e4417 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb5df426cc81908b676d3d6852e29f |
completed | March 31, 2026, 5:39 a.m. |
| PD | Predicate disambiguation | batch_69cb36aac86081909b83636e352e0ced |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:42 p.m.