Triple
T1610493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | F# |
E34603
|
entity |
| Predicate | hasTooling |
P28572
|
FINISHED |
| Object | Visual Studio integration |
—
|
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: Visual Studio integration | Statement: [F#, hasTooling, Visual Studio integration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTooling Context triple: [F#, hasTooling, Visual Studio integration]
-
A.
hasBuildTool
Indicates that an entity uses or is associated with a specific tool or system for building, compiling, or assembling software or other artifacts.
-
B.
usedByTool
Indicates that a particular tool is employed or operated by a specified agent or entity.
-
C.
isToolOf
Indicates that one entity functions as an instrument or means used by another entity to perform tasks or achieve goals.
-
D.
toolIn
chosen
Indicates that one entity is a tool or instrument used in or associated with another entity or context.
-
E.
typicalTools
Indicates that the related tools are commonly or characteristically used to perform the associated activity, task, or function.
- 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_69a885ffc5ec819091afa325d5f9611c |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a93fa6926081908bc78d15c0be3185 |
completed | March 5, 2026, 8:32 a.m. |
| PD | Predicate disambiguation | batch_69a907c35f848190a2428c52e81d013e |
completed | March 5, 2026, 4:34 a.m. |
Created at: March 4, 2026, 7:28 p.m.