Triple
T2066239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WD |
E45906
|
entity |
| Predicate | marketedAs |
P1395
|
FINISHED |
| Object | WD Gold |
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 Gold | Statement: [WD, marketedAs, WD Gold]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WD Gold Context triple: [WD, marketedAs, WD Gold]
-
A.
WDG
WDG is the abbreviated name for Wizards District Gaming, the NBA 2K League esports team affiliated with the Washington Wizards.
-
B.
WD
chosen
WD is a consumer-facing brand of Western Digital known for its hard drives, solid-state drives, and other data storage products.
-
C.
W&A
W&A is the commonly used abbreviation for the Western and Atlantic Railroad, a historic rail line in the southeastern United States.
-
D.
Gold Point
Gold Point is a historic Nevada mining ghost town known for its preserved old buildings and Wild West heritage.
-
E.
Gold City
Gold City is a nickname for Dahlonega, Georgia, a historic town famed for its early 19th-century gold rush and mining heritage.
- 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.