Triple
T25002877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Breton alphabet |
E625765
|
entity |
| Predicate | usesLowercase |
P33607
|
FINISHED |
| Object | Latin small letters |
—
|
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: Latin small letters | Statement: [Breton alphabet, usesLowercase, Latin small letters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesLowercase Context triple: [Breton alphabet, usesLowercase, Latin small letters]
-
A.
hasLowercaseLetters
chosen
Indicates that the referenced text contains at least one lowercase alphabetic character.
-
B.
loweredWhen
Indicates that one entity decreases or is reduced in value, level, or intensity when a specified condition involving another entity holds.
-
C.
hasLowercaseForm
Indicates that one entity is the lowercase version or representation of another entity.
-
D.
usesCapitalization
Indicates that one entity applies specific capitalization (such as upper/lower case or title case) to another entity, typically a string or text element.
-
E.
hasLower
Indicates that one entity is positioned at a lower level, rank, or value relative to 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_69e2ff26c50481908bc82e799c9e6587 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f453035f508190be83a3d521723acf |
completed | May 1, 2026, 7:15 a.m. |
| PD | Predicate disambiguation | batch_69f44d77f6e88190a4643ab2cbef567b |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 18, 2026, 6:05 a.m.