Triple
T22082600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vahcuengh |
E545688
|
entity |
| Predicate | encodesTone |
P126167
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Vahcuengh, encodesTone, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: encodesTone Context triple: [Vahcuengh, encodesTone, yes]
-
A.
usesToneNumbers
chosen
Indicates that something represents or encodes tones by using numerical tone markers.
-
B.
romanizesTonePattern
Indicates that one entity converts the tonal pattern of another entity’s language or script into a romanized (Latin alphabet) representation.
-
C.
supportsTone
Indicates that one entity is compatible with, enables, or can correctly handle a specified tone or tonal characteristic of another entity.
-
D.
inTonality
Indicates that something (such as a musical element, passage, or piece) is expressed, structured, or interpreted within a specific musical key or tonal framework.
-
E.
representsNumberOfTones
Indicates that one entity specifies or encodes the number of tones associated with 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_69e11e3523488190badd54b5d580c00d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f128b706288190945c0c37e5ff2756 |
completed | April 28, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69e71b20ec50819096ac196c798f8e3c |
completed | April 21, 2026, 6:37 a.m. |
Created at: April 16, 2026, 8:28 p.m.