Triple
T12514374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | echo |
E299158
|
entity |
| Predicate | canWriteTo |
P93404
|
FINISHED |
| Object | standard output |
—
|
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: standard output | Statement: [echo, canWriteTo, standard output]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canWriteTo Context triple: [echo, canWriteTo, standard output]
-
A.
canBeWrittenIn
Indicates that something is capable of being expressed, encoded, or represented using a particular language, notation, or medium.
-
B.
writesTo
Indicates that one entity produces and records information, data, or content into another entity as a destination or storage target.
-
C.
usedToWrite
Indicates that one entity served as a tool, medium, or instrument that another entity employed to perform the act of writing.
-
D.
writable
chosen
Indicates that one entity has permission or capability to modify or write data to another entity.
-
E.
canSet
Indicates that one entity has the ability or permission to assign, configure, or change a property, value, or state of 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_69d6ada4cd388190ae3bbf83ff87057a |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d954b867dc8190af8a70f797e4d133 |
completed | April 10, 2026, 7:51 p.m. |
| PD | Predicate disambiguation | batch_69d954096af88190b6be81b008c82139 |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 8, 2026, 9:57 p.m.