Triple
T8248068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Offensive Security |
E192895
|
entity |
| Predicate | offersCourse |
P178
|
FINISHED |
| Object |
WUMED
WUMED is a specialized cybersecurity training course provided by Offensive Security, focused on developing advanced skills in identifying and exploiting web application vulnerabilities.
|
E721410
|
NE FINISHED |
How this triple was built (4 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: WUMED | Statement: [Offensive Security, offersCourse, WUMED]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WUMED Context triple: [Offensive Security, offersCourse, WUMED]
-
A.
UNIMED
UNIMED is a Mediterranean university association that promotes academic cooperation, research collaboration, and cultural exchange among higher education institutions across the Mediterranean region.
-
B.
Wum
Wum is a town in northwestern Cameroon known as the capital of Menchum Division and for its nearby crater lakes and hilly landscape.
-
C.
WU
WU is a leading European university in Vienna specializing in economics, business, and social sciences.
-
D.
WU
WU is the stock ticker symbol for Western Union, a global financial services company best known for its money transfer and payment services.
-
E.
WAMO
WAMO is a Pittsburgh-area radio station historically known for its urban contemporary and hip-hop programming serving the region’s Black community.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: WUMED Triple: [Offensive Security, offersCourse, WUMED]
Generated description
WUMED is a specialized cybersecurity training course provided by Offensive Security, focused on developing advanced skills in identifying and exploiting web application vulnerabilities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: WUMED Target entity description: WUMED is a specialized cybersecurity training course provided by Offensive Security, focused on developing advanced skills in identifying and exploiting web application vulnerabilities.
-
A.
UNIMED
UNIMED is a Mediterranean university association that promotes academic cooperation, research collaboration, and cultural exchange among higher education institutions across the Mediterranean region.
-
B.
Wum
Wum is a town in northwestern Cameroon known as the capital of Menchum Division and for its nearby crater lakes and hilly landscape.
-
C.
WU
WU is the stock ticker symbol for Western Union, a global financial services company best known for its money transfer and payment services.
-
D.
WU
WU is a leading European university in Vienna specializing in economics, business, and social sciences.
-
E.
WAMO
WAMO is a Pittsburgh-area radio station historically known for its urban contemporary and hip-hop programming serving the region’s Black community.
- F. None of above. chosen
Provenance (5 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_69ca82de7b8c81908d8106f8a53cff9b |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7875318c819095f971ba513c54fd |
completed | March 31, 2026, 7:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd3530ca148190a28761622d0cf663 |
completed | April 1, 2026, 3:09 p.m. |
| NEDg | Description generation | batch_69cd37a71af481909e82aa29ae558c4a |
completed | April 1, 2026, 3:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cd4ef034ec8190a4229b21e6088c79 |
completed | April 1, 2026, 4:59 p.m. |
Created at: March 30, 2026, 5:48 p.m.