Triple
T7593100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hepburn |
E179787
|
entity |
| Predicate | alternativeLongVowelNotation |
P57346
|
FINISHED |
| Object | doubling vowels in some practical contexts |
—
|
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: doubling vowels in some practical contexts | Statement: [Hepburn, alternativeLongVowelNotation, doubling vowels in some practical contexts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alternativeLongVowelNotation Context triple: [Hepburn, alternativeLongVowelNotation, doubling vowels in some practical contexts]
-
A.
hasVowelNotationSystem
Indicates that a writing or transcription system for a language includes a method for explicitly representing vowel sounds.
-
B.
hasAlternativeVocalization
Indicates that an entity has another valid way it can be vocalized or pronounced, distinct from its primary or standard vocalization.
-
C.
hasAlternativeNotation
chosen
Indicates that an entity can be represented or written in a different, equivalent form or notation.
-
D.
hasVowelHarmony
Indicates that the phonological vowels in a word or morpheme conform to a systematic harmony pattern (e.g., all front or all back vowels) according to the language’s vowel harmony rules.
-
E.
hasVowelLengthContrast
Indicates that a language distinguishes word meanings based on differences in the length (duration) of vowel sounds.
- 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_69c69f3487ec8190bf7acdf2dd91e6d6 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f9b92c348190b547f0aacfb8d6be |
completed | March 27, 2026, 9:42 p.m. |
| PD | Predicate disambiguation | batch_69c6f4e2e42c8190afc802c4796c9cc2 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:53 p.m.