Triple
T30818120
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gaël |
E784839
|
entity |
| Predicate | hasAccentType |
P145942
|
FINISHED |
| Object | diaeresis on e |
—
|
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: diaeresis on e | Statement: [Gaël, hasAccentType, diaeresis on e]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAccentType Context triple: [Gaël, hasAccentType, diaeresis on e]
-
A.
hasAccent
Indicates that an entity speaks with or possesses a particular accent or distinctive pronunciation style.
-
B.
hasAccentFunction
Indicates that one element serves as an accent or emphasis function in relation to another element within a structure or context.
-
C.
hasAccentSystem
Indicates that an entity employs or is characterized by a particular system or pattern of accents (e.g., in language, music, or typography).
-
D.
hasAccentPosition
Indicates the position within a word or phrase where the primary accent or stress is placed.
-
E.
hasSpellingWithAccent
chosen
Indicates that one form of a word or name is spelled using accented characters compared to another form.
- 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_69f224b4eda48190bd212ce4f3901e56 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f7221dc9a88190bb8194fcc29c42bc |
completed | May 3, 2026, 10:23 a.m. |
| PD | Predicate disambiguation | batch_69f72153a9188190b02adc84e1be4af8 |
completed | May 3, 2026, 10:20 a.m. |
Created at: April 29, 2026, 8:44 p.m.