Triple
T1735396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wikinews |
E37908
|
entity |
| Predicate | hasLanguageEdition |
P4185
|
FINISHED |
| Object |
French Wikinews
French Wikinews is the French-language edition of the Wikinews collaborative, free-content news project run by the Wikimedia Foundation.
|
E194349
|
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: French Wikinews | Statement: [Wikinews, hasLanguageEdition, French Wikinews]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: French Wikinews Context triple: [Wikinews, hasLanguageEdition, French Wikinews]
-
A.
France Info
France Info is a French public rolling news television channel providing continuous national and international news coverage.
-
B.
france.tv
france.tv is the official online streaming and catch-up TV platform of the French public broadcaster France Télévisions, offering live channels and on-demand programs.
-
C.
Francophonie
Francophonie is the global community of French-speaking countries, regions, and peoples connected by the use of the French language and shared cultural and institutional ties.
-
D.
France 3
France 3 is a French public television channel known for its regional programming and news coverage as part of the France Télévisions group.
-
E.
FR
FR is the IATA airline designator used to identify Ryanair flights.
- 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: French Wikinews Triple: [Wikinews, hasLanguageEdition, French Wikinews]
Generated description
French Wikinews is the French-language edition of the Wikinews collaborative, free-content news project run by the Wikimedia Foundation.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: French Wikinews Target entity description: French Wikinews is the French-language edition of the Wikinews collaborative, free-content news project run by the Wikimedia Foundation.
-
A.
France Info
France Info is a French public rolling news television channel providing continuous national and international news coverage.
-
B.
france.tv
france.tv is the official online streaming and catch-up TV platform of the French public broadcaster France Télévisions, offering live channels and on-demand programs.
-
C.
Francophonie
Francophonie is the global community of French-speaking countries, regions, and peoples connected by the use of the French language and shared cultural and institutional ties.
-
D.
France 3
France 3 is a French public television channel known for its regional programming and news coverage as part of the France Télévisions group.
-
E.
FR
FR is the IATA airline designator used to identify Ryanair flights.
- 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_69a8861cc6ac8190ac0b2e31ccf62851 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa63a2168c819093d302632ff4b7c2 |
completed | March 6, 2026, 5:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad8b008b7881909ac568af010bcf99 |
completed | March 8, 2026, 2:43 p.m. |
| NEDg | Description generation | batch_69ad979dc1dc81908b64e57298ae6017 |
completed | March 8, 2026, 3:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad9836f4c8819098ba033b5f0d2a33 |
completed | March 8, 2026, 3:39 p.m. |
Created at: March 4, 2026, 7:30 p.m.