Triple
T16873801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A104 motorway |
E421244
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Francilienne |
E822159
|
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: Francilienne | Statement: [A104 motorway, alsoKnownAs, Francilienne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Francilienne Context triple: [A104 motorway, alsoKnownAs, Francilienne]
-
A.
Francilienne
chosen
Francilienne is a ring road motorway system that partially encircles the Île-de-France region around Paris, serving as an outer bypass to relieve traffic from the city’s inner ring roads.
-
B.
Francene
Francene is a feminine given name, typically considered a variant of Francine and often associated with French origins meaning "from France" or "Frenchwoman."
-
C.
Calaisienne
Calaisienne is the French term for a female inhabitant or native of the port city of Calais in northern France.
-
D.
Brionnais
Brionnais is a historic rural region in eastern France known for its Romanesque churches, traditional stone villages, and Charolais cattle farming.
-
E.
Faliconnais
Faliconnais refers to the inhabitants or natives of Falicon, a commune in the Alpes-Maritimes department in southeastern France.
- 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_69d889d470fc8190b4aec199636c0c56 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3b7f40410819088db22fa0d1eb808 |
completed | April 18, 2026, 4:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c7a27f548190963c35f40f4420f8 |
completed | May 10, 2026, 6 p.m. |
Created at: April 10, 2026, 5:29 a.m.