Triple
T25163191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bun test runner |
E626496
|
entity |
| Predicate | supportsImportStyle |
P8463
|
FINISHED |
| Object | ESM import syntax |
—
|
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: ESM import syntax | Statement: [Bun test runner, supportsImportStyle, ESM import syntax]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsImportStyle Context triple: [Bun test runner, supportsImportStyle, ESM import syntax]
-
A.
supportsStyleDefinition
Indicates that one entity is capable of handling, recognizing, or working with a particular style definition associated with another entity.
-
B.
supportsMarkupStyle
Indicates that one entity is capable of handling, rendering, or otherwise working with a specified markup style associated with another entity.
-
C.
supportsImportExport
Indicates that one entity provides functionality for importing and exporting data or resources to and from another entity.
-
D.
allowsImports
Indicates that one entity permits another entity to bring in or receive items, data, or resources from an external source.
-
E.
canImportFormat
chosen
Indicates that an entity has the capability to import or read data in a specified format.
- 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_69e2ff2834ec8190b0872e2ec3d76023 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f67c9fe7b48190b79b4041357edb49 |
completed | May 2, 2026, 10:37 p.m. |
| PD | Predicate disambiguation | batch_69f678cc272081909e5c70f1bc7407f0 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 18, 2026, 6:31 a.m.