Triple
T7059075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ISO/IEC 8859-15 |
E164167
|
entity |
| Predicate | replacesCharacterFromISO8859-1 |
P74797
|
FINISHED |
| Object | generic currency sign |
—
|
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: generic currency sign | Statement: [ISO/IEC 8859-15, replacesCharacterFromISO8859-1, generic currency sign]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: replacesCharacterFromISO8859-1 Context triple: [ISO/IEC 8859-15, replacesCharacterFromISO8859-1, generic currency sign]
-
A.
ISO8859-1Range0x80-0x9F
Indicates that a character falls within the 0x80–0x9F byte range of the ISO 8859-1 (Latin-1) character encoding.
-
B.
replacedWritingSystem
Indicates that one writing system has been superseded or taken the place of another as the primary script used for a language or context.
-
C.
correspondsToLatinLetter
Indicates that one entity is the counterpart or representation of another entity as a specific letter in the Latin alphabet.
-
D.
usesCharacterSet
Indicates that one entity employs or relies on a specific character set defined by another entity for encoding or representing text.
-
E.
alternativeTransliteration
Indicates that one written form represents an alternative way of transliterating the same original text or name into another script or orthography.
- F. None of above. chosen
Provenance (4 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_69c68861678881909961ddf4d779f750 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e4a3c36c819080942c59f1830ae8 |
completed | March 27, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69c6e1bdc1f08190975fcdbbb1854d1e |
completed | March 27, 2026, 7:59 p.m. |
| PDg | Predicate description generation | batch_69c6e4a15b088190bee9a23e94aaac53 |
completed | March 27, 2026, 8:12 p.m. |
Created at: March 27, 2026, 2:38 p.m.