Triple
T22443771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ESLint |
E554816
|
entity |
| Predicate | supportsIgnoreFiles |
P127998
|
FINISHED |
| Object | .eslintignore |
—
|
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: .eslintignore | Statement: [ESLint, supportsIgnoreFiles, .eslintignore]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsIgnoreFiles Context triple: [ESLint, supportsIgnoreFiles, .eslintignore]
-
A.
readsIgnoreFiles
chosen
Indicates that an entity performs a read operation while intentionally skipping or excluding certain specified files from being processed.
-
B.
supportsExtentsForFiles
Indicates that a system or component provides support for managing or using extent-based storage structures specifically for files.
-
C.
includesExtension
Indicates that one entity contains or incorporates another entity as an added or supplementary extension.
-
D.
supportsCaseSensitiveFilenames
Indicates that the subject is capable of handling or distinguishing filenames based on letter casing, treating differently cased names as distinct.
-
E.
ignoresPartiallyOrFully
Indicates that one entity does not acknowledge, attend to, or respond to another entity or its actions, either to some extent or completely.
- 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_69e11e5010e48190ae1e9c9db9697637 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15ae517208190924a7968723f55ef |
completed | April 29, 2026, 1:12 a.m. |
| PD | Predicate disambiguation | batch_69e898ad961c819098fd1e46129bddcc |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 8:47 p.m.