Triple
T4411043
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hawaiian alphabet |
E94853
|
entity |
| Predicate | includesVowelLetters |
P4430
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [Hawaiian alphabet, includesVowelLetters, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesVowelLetters Context triple: [Hawaiian alphabet, includesVowelLetters, 5]
-
A.
containsVowelLetters
Indicates that the subject includes one or more vowel letters within its sequence of characters.
-
B.
hasNumberOfVowelLetters
chosen
Indicates that an entity is associated with a specific count of vowel letters it contains.
-
C.
hasDistinctVowelLetters
Indicates that the subject contains vowel letters that are all different from one another, with no vowel repeated.
-
D.
hasIndependentVowelLetters
Indicates that a writing system includes separate, standalone vowel characters rather than representing vowels only through modifications of consonant letters.
-
E.
isVowel
Indicates that the referenced character or symbol is a vowel in the relevant alphabet or phonetic 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_69b34539638c8190abfea3eb29425210 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b354e4c58c8190b4190aad3095a1dd |
completed | March 13, 2026, 12:05 a.m. |
| PD | Predicate disambiguation | batch_69b34f5b36a881909bf2e970aa523390 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:29 p.m.