Triple
T13134674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rue Belliard / Belliardstraat |
E312051
|
entity |
| Predicate | hasFrenchName |
P744
|
FINISHED |
| Object | Rue Belliard |
—
|
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: Rue Belliard | Statement: [Rue Belliard / Belliardstraat, hasFrenchName, Rue Belliard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rue Belliard Context triple: [Rue Belliard / Belliardstraat, hasFrenchName, Rue Belliard]
-
A.
Rue Belliard
chosen
Rue Belliard is a major street in Brussels’ European Quarter, lined with EU institutions, offices, and diplomatic buildings.
-
B.
Rue Boissière
Rue Boissière is a street in Paris, France, situated in the 16th arrondissement near several notable landmarks and cultural institutions.
-
C.
Rue Feydeau
Rue Feydeau is a street in central Paris, France, historically notable for hosting the prominent Théâtre Feydeau.
-
D.
Rue Bergère
Rue Bergère is a street in Paris, France, historically notable for giving its name to the famous Folies Bergère music hall.
-
E.
Rue Duphot
Rue Duphot is a street in central Paris’s 1st arrondissement, situated near Place de la Madeleine and known for its upscale shops and proximity to major boulevards.
- 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_69d806a9fe888190b081e2d9ea665d6c |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d981b3d72c8190b69ae56435a954fa |
completed | April 10, 2026, 11:03 p.m. |
Created at: April 9, 2026, 9:08 p.m.