Triple
T11719227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canadian Shift in short front vowels |
E278582
|
entity |
| Predicate | vowelSpaceEffect |
P45435
|
FINISHED |
| Object | reorganization of short front vowel space |
—
|
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: reorganization of short front vowel space | Statement: [Canadian Shift in short front vowels, vowelSpaceEffect, reorganization of short front vowel space]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: vowelSpaceEffect Context triple: [Canadian Shift in short front vowels, vowelSpaceEffect, reorganization of short front vowel space]
-
A.
vowelPlacement
chosen
Indicates the relative position or arrangement of vowel sounds within a linguistic unit, such as a word or syllable.
-
B.
hasVowelFeature
Indicates that an entity possesses a specific vowel-related phonological or articulatory feature.
-
C.
voiceEffectsBy
Indicates that one entity applies or produces voice-related effects that modify or transform the voice of another entity.
-
D.
hasVow
Indicates that one entity has made or is bound by a formal vow or promise in relation to another entity or context.
-
E.
vowStatus
Indicates the current state or condition of a commitment or promise made between entities, such as whether it is active, fulfilled, or broken.
- 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_69d6aaff2ce88190b4a1e4b341ad5377 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4c26e4c8190ae30d906b4fd4221 |
completed | April 10, 2026, 7:20 a.m. |
| PD | Predicate disambiguation | batch_69d88a7d483081909c2a101087515d74 |
completed | April 10, 2026, 5:28 a.m. |
Created at: April 8, 2026, 9:40 p.m.