Triple
T10159058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Undernet |
E233841
|
entity |
| Predicate | hasService |
P182
|
FINISHED |
| Object |
News (news service)
News (news service) is an Undernet-based IRC news distribution service that delivers announcements and information to users across the network.
|
E845129
|
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: News (news service) | Statement: [Undernet, hasService, News (news service)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: News (news service) Context triple: [Undernet, hasService, News (news service)]
-
A.
The News
The News was an earlier Raleigh, North Carolina newspaper that eventually merged or evolved into what is now known as The News & Observer.
-
B.
Newsy
Newsy was the nickname of Édouard "Newsy" Lalonde, a prominent early 20th-century Canadian ice hockey and lacrosse star known for his scoring prowess.
-
C.
Newsy
Newsy is a U.S.-based digital news network known for concise, video-focused coverage and analysis of current events.
-
D.
News On AIR
News On AIR is All India Radio’s official mobile application that provides live radio streaming, news updates, and programs from AIR and Doordarshan.
-
E.
Wikinews
Wikinews is a free, collaboratively written online news source that is part of the Wikimedia family of projects.
- 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: News (news service) Triple: [Undernet, hasService, News (news service)]
Generated description
News (news service) is an Undernet-based IRC news distribution service that delivers announcements and information to users across the network.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: News (news service) Target entity description: News (news service) is an Undernet-based IRC news distribution service that delivers announcements and information to users across the network.
-
A.
The News
The News was an earlier Raleigh, North Carolina newspaper that eventually merged or evolved into what is now known as The News & Observer.
-
B.
Newsy
Newsy was the nickname of Édouard "Newsy" Lalonde, a prominent early 20th-century Canadian ice hockey and lacrosse star known for his scoring prowess.
-
C.
Newsy
Newsy is a U.S.-based digital news network known for concise, video-focused coverage and analysis of current events.
-
D.
News On AIR
News On AIR is All India Radio’s official mobile application that provides live radio streaming, news updates, and programs from AIR and Doordarshan.
-
E.
Wikinews
Wikinews is a free, collaboratively written online news source that is part of the Wikimedia family of projects.
- 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_69ca848e80748190b91d1e04d35512c7 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cdec56d944819081bc6ea36c905ba2 |
completed | April 2, 2026, 4:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d300b7b3108190a8e7581193c322be |
completed | April 6, 2026, 12:39 a.m. |
| NEDg | Description generation | batch_69d302537a548190b211727dd124cba6 |
completed | April 6, 2026, 12:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d3033245448190bcc802b7dbd274fc |
completed | April 6, 2026, 12:49 a.m. |
Created at: March 30, 2026, 9:09 p.m.