Triple
T11004927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Visible Speech |
E260091
|
entity |
| Predicate | notationSystemType |
P6517
|
FINISHED |
| Object | segmental phonetic notation |
—
|
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: segmental phonetic notation | Statement: [Visible Speech, notationSystemType, segmental phonetic notation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notationSystemType Context triple: [Visible Speech, notationSystemType, segmental phonetic notation]
-
A.
notationSystem
chosen
Indicates a relationship where one entity is the system or method of notation used to represent or encode another entity.
-
B.
notationType
Indicates the specific system or style of notation used to represent or encode something (such as music, math, or language).
-
C.
numberingSystemBasedOn
Indicates that one numbering system is derived from, structured according to, or conceptually dependent on another numbering system.
-
D.
codingSystemType
Indicates the classification or category of coding system used to encode or represent information in a given context.
-
E.
monetarySystemType
Indicates the type or classification of a monetary system associated with an 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_69d6aa8a6a548190a750f944ccdc8064 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797562de4819097a0e136180d283a |
completed | April 9, 2026, 12:11 p.m. |
| PD | Predicate disambiguation | batch_69d72e96be6c8190a46c69f61b2d8cd4 |
completed | April 9, 2026, 4:44 a.m. |
Created at: April 8, 2026, 9:25 p.m.