Triple
T2968865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The limits of my language mean the limits of my world |
E80231
|
entity |
| Predicate | languageRoleInContext |
P11527
|
FINISHED |
| Object | logical representation of possible facts |
—
|
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: logical representation of possible facts | Statement: [The limits of my language mean the limits of my world, languageRoleInContext, logical representation of possible facts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageRoleInContext Context triple: [The limits of my language mean the limits of my world, languageRoleInContext, logical representation of possible facts]
-
A.
languageStandardizationRole
Indicates the role an entity plays in establishing, maintaining, or influencing the standardization of a language.
-
B.
roleInText
chosen
Indicates that an entity participates in a text with a specific function or capacity (e.g., author, editor, character).
-
C.
languageUse
Indicates the language or languages an entity uses for communication, expression, or interaction.
-
D.
identityLanguage
Indicates that two language entities are identical or represent the same language.
-
E.
roleInDialogue
Indicates that an entity participates in a dialogue with a specific conversational role (e.g., speaker, listener, moderator) relative to other participants.
- 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.