Triple
T13200267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Basic English |
E314221
|
entity |
| Predicate | coreVocabularyIncludes |
P18536
|
FINISHED |
| Object | operations (basic verbs) |
—
|
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: operations (basic verbs) | Statement: [Basic English, coreVocabularyIncludes, operations (basic verbs)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coreVocabularyIncludes Context triple: [Basic English, coreVocabularyIncludes, operations (basic verbs)]
-
A.
hasVocabularyFrom
Indicates that one entity’s vocabulary, terminology, or set of terms is derived from, based on, or taken from another entity.
-
B.
containsRegionalVocabulary
Indicates that the subject includes vocabulary items that are specific to a particular geographic region or dialect.
-
C.
spellingIncludes
Indicates that the spelling of one entity contains, as a substring or component, the spelling of another entity.
-
D.
hasKnownVocabulary
chosen
Indicates that an entity possesses a defined, identifiable set of terms or words that it can recognize or use.
-
E.
lexicalResources
Indicates that one entity provides or is associated with lexical materials (such as dictionaries, vocabularies, or word lists) that support or describe another entity.
- 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_69d806aee7308190b70a237ba2a6e3e1 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf054f88190b05ced98d5a22a62 |
completed | April 10, 2026, 11:51 p.m. |
| PD | Predicate disambiguation | batch_69d98bc6bc108190b5a6a265bf6e9fd4 |
completed | April 10, 2026, 11:46 p.m. |
Created at: April 9, 2026, 9:16 p.m.