Triple
T1990112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Île de la Cité |
E43231
|
entity |
| Predicate | describedBySource |
P519
|
FINISHED |
| Object |
French Wikipedia
French Wikipedia is the French-language edition of the online collaborative encyclopedia Wikipedia, written and maintained by a community of French-speaking volunteers.
|
E221449
|
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 Wikipedia | Statement: [Île de la Cité, describedBySource, French Wikipedia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: French Wikipedia Context triple: [Île de la Cité, describedBySource, French Wikipedia]
-
A.
French Wikinews
French Wikinews is the French-language edition of the Wikinews collaborative, free-content news project run by the Wikimedia Foundation.
-
B.
French Wikiquote
French Wikiquote is the French-language edition of Wikiquote, a collaborative online collection of sourced quotations from notable people, works, and themes.
-
C.
French
French is a Romance language that evolved from Latin and is now spoken worldwide as both a native and official language in many countries.
-
D.
FR
FR is the IATA airline designator used to identify Ryanair flights.
-
E.
France Info
France Info is a French public rolling news television channel providing continuous national and international news coverage.
- 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 Wikipedia Triple: [Île de la Cité, describedBySource, French Wikipedia]
Generated description
French Wikipedia is the French-language edition of the online collaborative encyclopedia Wikipedia, written and maintained by a community of French-speaking volunteers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: French Wikipedia Target entity description: French Wikipedia is the French-language edition of the online collaborative encyclopedia Wikipedia, written and maintained by a community of French-speaking volunteers.
-
A.
French Wikinews
French Wikinews is the French-language edition of the Wikinews collaborative, free-content news project run by the Wikimedia Foundation.
-
B.
French Wikiquote
French Wikiquote is the French-language edition of Wikiquote, a collaborative online collection of sourced quotations from notable people, works, and themes.
-
C.
French
French is a Romance language that evolved from Latin and is now spoken worldwide as both a native and official language in many countries.
-
D.
FR
FR is the IATA airline designator used to identify Ryanair flights.
-
E.
France Info
France Info is a French public rolling news television channel providing continuous national and international news coverage.
- 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_69a88714cf2c819081644be450b8356e |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb8434cec819087842e2c9537df9e |
completed | March 7, 2026, 5:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae0336177c8190bb9d3d921fff13e8 |
completed | March 8, 2026, 11:16 p.m. |
| NEDg | Description generation | batch_69ae03b52ed08190a8c8fb8f81073bb3 |
completed | March 8, 2026, 11:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae0433b90c81909af348d9a3dcdbec |
completed | March 8, 2026, 11:20 p.m. |
Created at: March 4, 2026, 7:37 p.m.