Triple
T1610991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Microsoft Visual Studio Enterprise |
E34612
|
entity |
| Predicate | positionInProductLine |
P30257
|
FINISHED |
| Object | highest-tier Visual Studio edition |
—
|
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: highest-tier Visual Studio edition | Statement: [Microsoft Visual Studio Enterprise, positionInProductLine, highest-tier Visual Studio edition]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionInProductLine Context triple: [Microsoft Visual Studio Enterprise, positionInProductLine, highest-tier Visual Studio edition]
-
A.
usedInProductLine
Indicates that something (such as a component, material, or feature) is utilized within a particular product line.
-
B.
positionInCase
Indicates the specific role, status, or placement that an entity holds within a particular case or legal proceeding.
-
C.
positionOn
Indicates that one entity is located on top of or at a specific place along the surface or extent of another entity.
-
D.
positionInLineup
Indicates the specific ordered place an entity occupies within a lineup or sequence of entities.
-
E.
productLineStart
Indicates the point in time or position at which a particular product line begins or is first introduced.
- 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_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. |
| PDg | Predicate description generation | batch_69a93fa5aa04819084d1154ef900303f |
completed | March 5, 2026, 8:32 a.m. |
Created at: March 4, 2026, 7:28 p.m.