Triple
T2066251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WD |
E45906
|
entity |
| Predicate | brandOf |
P1500
|
FINISHED |
| Object | WD Elements |
E45906
|
NE 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: WD Elements | Statement: [WD, brandOf, WD Elements]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WD Elements Context triple: [WD, brandOf, WD Elements]
-
A.
WD
chosen
WD is a consumer-facing brand of Western Digital known for its hard drives, solid-state drives, and other data storage products.
-
B.
Ware
Ware is a historic market town in Hertfordshire, England, known for its riverside setting on the River Lea and its long-standing role as a local commercial and coaching center.
-
C.
Ware
Ware was the plaintiff in the landmark U.S. Supreme Court case Ware v. Hylton, which addressed the supremacy of federal treaties over conflicting state laws.
-
D.
WHD
WHD is the U.S. Department of Labor’s Wage and Hour Division, the federal agency responsible for enforcing minimum wage, overtime pay, child labor, and other key labor standards.
-
E.
DWM
DWM is the Windows system component responsible for rendering and managing the visual effects and composition of the desktop user interface.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a8891b38288190abd572ccad9b6928 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb9f0cb888190a97884f5a722d91f |
completed | March 7, 2026, 5:38 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae2722b5048190a78978a64167cda2 |
completed | March 9, 2026, 1:49 a.m. |
Created at: March 4, 2026, 7:40 p.m.