Triple
T17923315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sir George Williams Georgians |
E448127
|
entity |
| Predicate | languageOfInstitutionEnvironment |
P54642
|
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: [Sir George Williams Georgians, languageOfInstitutionEnvironment, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfInstitutionEnvironment Context triple: [Sir George Williams Georgians, languageOfInstitutionEnvironment, English]
-
A.
languageOfEnvironment
Indicates the language predominantly used or present in a given environment or context.
-
B.
languageOfInstitutionalContext
chosen
Indicates the language used as the primary medium of communication within an institutional setting or context.
-
C.
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.
-
D.
languageOfTeamEnvironment
Indicates the primary language used for communication and collaboration within a team’s working environment.
-
E.
languageOfInterface
Indicates the language used by or presented in a user interface.
- 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_69d8b9f6d394819082a6d69fd1e23d2f |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4a30bde508190bc529ccae81f0e2a |
completed | April 19, 2026, 9:40 a.m. |
| PD | Predicate disambiguation | batch_69e3f8e713d481908b4a126258c18b63 |
completed | April 18, 2026, 9:34 p.m. |
Created at: April 10, 2026, 10:20 a.m.