Triple
T27561065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Windows Resource Protection |
E695769
|
entity |
| Predicate | componentStoreLocation |
P173697
|
FINISHED |
| Object | WinSxS folder |
—
|
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: WinSxS folder | Statement: [Windows Resource Protection, componentStoreLocation, WinSxS folder]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: componentStoreLocation Context triple: [Windows Resource Protection, componentStoreLocation, WinSxS folder]
-
A.
purchaseLocation
Indicates the place or venue where a purchase or transaction is made.
-
B.
slotLocation
Indicates the specific position or compartment within a larger container or system where an item is placed or assigned.
-
C.
platformLocation
Indicates the spatial position or placement of a platform relative to a reference point or environment.
-
D.
hasStoreLocation
Indicates that an entity operates or maintains a store at a specified physical location.
-
E.
manufacturerLocation
Indicates the geographic place where a product’s manufacturer is based or operates.
- 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_69ef5387e97c8190a9dab040d21cd048 |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f6b9a84ff88190ab5a71f7ef1e0dac |
completed | May 3, 2026, 2:57 a.m. |
| PD | Predicate disambiguation | batch_69f6b626120c819097c9ad04487570d7 |
completed | May 3, 2026, 2:42 a.m. |
| PDg | Predicate description generation | batch_69f6b8fe147881908ba17483c7b13f05 |
completed | May 3, 2026, 2:54 a.m. |
Created at: April 27, 2026, 1:39 p.m.