Triple
T2066238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WD |
E45906
|
entity |
| Predicate | marketedAs |
P1395
|
FINISHED |
| Object | WD Purple |
E45911
|
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 Purple | Statement: [WD, marketedAs, WD Purple]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WD Purple Context triple: [WD, marketedAs, WD Purple]
-
A.
WD Purple
chosen
WD Purple is a line of Western Digital hard drives specifically designed and optimized for continuous, high-reliability video surveillance storage.
-
B.
Blau
The Blau is a small river in the German state of Baden-Württemberg that flows through the city of Blaustein before joining the Danube.
-
C.
Karmir Blur
Karmir Blur is an important archaeological site in Armenia containing the remains of an ancient Urartian fortress and settlement.
-
D.
LMS Black Five
LMS Black Five is a highly successful and versatile class of British mixed-traffic steam locomotives designed by William Stanier for widespread use across the LMS network.
-
E.
4900 Colours
4900 Colours is a large-scale abstract artwork by Gerhard Richter composed of thousands of vividly colored squares arranged in systematic grid formations.
- 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.