Triple
T18378837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | N104 |
E446387
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Francilienne N104 |
—
|
NE NERFINISHED |
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 N104 | Statement: [N104, alsoKnownAs, Francilienne N104]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Francilienne N104 Context triple: [N104, alsoKnownAs, Francilienne N104]
-
A.
Francilienne (A104/N104)
chosen
The Francilienne (A104/N104) is a planned outer orbital motorway intended to encircle the Île-de-France region around Paris, forming a wider ring road beyond the existing A86.
-
B.
Bléré
Bléré is a small commune in central France’s Indre-et-Loire department, known for its location in the Loire Valley near historic châteaux and its setting along the Cher River.
-
C.
Farman F.50
The Farman F.50 was a French twin-engine biplane bomber developed during World War I and used in the immediate postwar period.
-
D.
Fouga
Fouga was a French aircraft manufacturer best known for producing the CM.170 Magister jet trainer.
-
E.
Farman HF.20
The Farman HF.20 was an early French military reconnaissance biplane used during the years leading up to and including the early stages of World War I.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9f370b88190b1e5081c2c238e7f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e51799e0f4819089e8af04888549bf |
completed | April 19, 2026, 5:57 p.m. |
Created at: April 10, 2026, 10:45 a.m.