Triple
T8302103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Esperanto Wikinews |
E194371
|
entity |
| Predicate | projectName |
P16082
|
FINISHED |
| Object | Wikinews |
E37908
|
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: Wikinews | Statement: [Esperanto Wikinews, projectName, Wikinews]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wikinews Context triple: [Esperanto Wikinews, projectName, Wikinews]
-
A.
Wikinews
chosen
Wikinews is a free, collaboratively written online news source that is part of the Wikimedia family of projects.
-
B.
World News Now
World News Now is an overnight American television news program on ABC known for its offbeat, informal style and coverage of national and international stories.
-
C.
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.
-
D.
Newsy
Newsy is a U.S.-based digital news network known for concise, video-focused coverage and analysis of current events.
-
E.
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.
- 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_69ca82e50ebc81909aa7b260c76bd757 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7e891030819097f4a26992a8b469 |
completed | March 31, 2026, 7:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d016c8b6f0819084d14fec00aad335 |
completed | April 3, 2026, 7:36 p.m. |
Created at: March 30, 2026, 5:53 p.m.