Triple
T13200404
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The System of Basic English |
E314224
|
entity |
| Predicate | vocabularySize |
P18536
|
FINISHED |
| Object | 850 core words |
—
|
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: 850 core words | Statement: [The System of Basic English, vocabularySize, 850 core words]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: vocabularySize Context triple: [The System of Basic English, vocabularySize, 850 core words]
-
A.
hasKnownVocabulary
chosen
Indicates that an entity possesses a defined, identifiable set of terms or words that it can recognize or use.
-
B.
hasDistinctVocabulary
Indicates that one entity’s vocabulary is different or distinguishable from that of another entity.
-
C.
wordLength
Indicates that there is a relationship specifying the number of characters (length) in a given word.
-
D.
phonemeInventorySize
Indicates the number of distinct phonemes present in a language’s sound system.
-
E.
hasVowelInventorySize
Indicates that an entity is associated with a specific number of distinct vowel sounds in its phonological system.
- 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.