Triple
T12514360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | echo |
E299158
|
entity |
| Predicate | supportsEscapeSequences |
P105360
|
FINISHED |
| Object | implementationDependent |
—
|
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: implementationDependent | Statement: [echo, supportsEscapeSequences, implementationDependent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsEscapeSequences Context triple: [echo, supportsEscapeSequences, implementationDependent]
-
A.
supportsControlSequences
Indicates that one entity is capable of recognizing and correctly handling control sequences used by another entity.
-
B.
containsColorSequences
Indicates that one entity includes or exhibits specific ordered sequences of colors associated with another entity.
-
C.
defaultEscaping
Indicates that a value, expression, or output is automatically transformed (escaped) into a safe representation by default to prevent unintended interpretation or execution.
-
D.
hasEscapeEnvironment
Indicates that an entity is associated with, or requires, a specific environment or context in which it can safely or successfully escape.
-
E.
supportsUnicode
Indicates that an entity is capable of correctly handling, storing, or displaying Unicode-encoded text.
- 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_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. |
| PDg | Predicate description generation | batch_69d954b715fc819091fa84430be46273 |
completed | April 10, 2026, 7:51 p.m. |
Created at: April 8, 2026, 9:57 p.m.