Triple
T2968861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The limits of my language mean the limits of my world |
E80231
|
entity |
| Predicate | quotationType |
P17430
|
FINISHED |
| Object | aphoristic statement |
—
|
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: aphoristic statement | Statement: [The limits of my language mean the limits of my world, quotationType, aphoristic statement]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: quotationType Context triple: [The limits of my language mean the limits of my world, quotationType, aphoristic statement]
-
A.
quoteProvision
Indicates that one entity supplies or presents a quotation or price estimate to another entity.
-
B.
notableQuote
Indicates that one entity is a significant or well-known quotation attributed to, recorded by, or strongly associated with another entity.
-
C.
notableQuoteTranslation
Indicates that one quote is a translation of another quote, preserving its meaning across different languages.
-
D.
genreOfQuotes
chosen
Indicates that one entity is the literary, thematic, or stylistic genre to which the other entity’s quotes belong.
-
E.
mottoType
Indicates the specific category or kind of motto that characterizes the relationship between an entity and its motto.
- 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_69ad8b14ffe881908ffed62f9595c867 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9970e2c08190affa5efedb9aad75 |
completed | March 8, 2026, 3:44 p.m. |
| PD | Predicate disambiguation | batch_69ad960e71f8819088179d11248c6ed0 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 2:58 p.m.