Triple
T22376212
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Commended Students |
E553156
|
entity |
| Predicate | languageOfRecognition |
P238
|
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: [Commended Students, languageOfRecognition, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfRecognition Context triple: [Commended Students, languageOfRecognition, English]
-
A.
languageOfWorkRecognized
Indicates that a work is officially recognized as being created or expressed in a particular language.
-
B.
recognizedLanguage
chosen
Indicates that an entity has identified, detected, or acknowledged a particular language as being used or present.
-
C.
languageOfCommunications
Indicates that a specified language is used as the medium for communications associated with an entity or interaction.
-
D.
languageOfAttestation
Indicates the language in which a statement, document, or evidence is originally recorded or attested.
-
E.
languageOfSignatures
Indicates the language in which the signatures on a document or agreement are written or expressed.
- 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_69e11e4c03248190a26a5060ea6973ee |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f158285d208190bc7d05d315267995 |
completed | April 29, 2026, 1 a.m. |
| PD | Predicate disambiguation | batch_69e73011e6388190a05edf137f488441 |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 8:45 p.m.