Triple
T38048565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Empire Brewery |
E949688
|
entity |
| Predicate | languageOfBusinessEnvironment |
P148525
|
FINISHED |
| Object | English |
—
|
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: English | Statement: [Empire Brewery, languageOfBusinessEnvironment, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfBusinessEnvironment Context triple: [Empire Brewery, languageOfBusinessEnvironment, English]
-
A.
لغة_الأعمال
chosen
Indicates a relationship where something is expressed, conducted, or communicated using the language of business (لغة الأعمال).
-
B.
languageOfEnvironment
Indicates the language predominantly used or present in a given environment or context.
-
C.
languageOfCommunications
Indicates that a specified language is used as the medium for communications associated with an entity or interaction.
-
D.
nationalLanguageEnvironment
Indicates the relationship between a country or region and the language(s) that function as the primary or officially recognized means of communication in that environment.
-
E.
countryOfficialLanguageEnvironment
Indicates that a particular language is officially recognized and used for governmental or formal purposes within a given country’s environment or 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_69f76f000cf081908c11fb5443b392e6 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a01d077dcec8190b05b24b5de313b15 |
completed | May 11, 2026, 12:50 p.m. |
| PD | Predicate disambiguation | batch_6a01cea0e37881909cb6888518c6d12f |
completed | May 11, 2026, 12:42 p.m. |
Created at: May 3, 2026, 4:20 p.m.