Triple
T10930449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rue Ducale |
E258191
|
entity |
| Predicate | hasNameInFrench |
P6538
|
FINISHED |
| Object | Rue Ducale |
E258191
|
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: Rue Ducale | Statement: [Rue Ducale, hasNameInFrench, Rue Ducale]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rue Ducale Context triple: [Rue Ducale, hasNameInFrench, Rue Ducale]
-
A.
Rue Ducale
chosen
Rue Ducale is a prominent street in central Brussels, Belgium, running alongside key royal and governmental buildings near the Royal Palace.
-
B.
Rue des Remparts
Rue des Remparts is a historic street in Old Quebec known for its preserved fortifications and scenic views over the city and St. Lawrence River.
-
C.
Rue du Luxembourg
Rue du Luxembourg is a street in the European Quarter of Brussels, Belgium, known for its proximity to key European Union institutions and the bustling Place du Luxembourg.
-
D.
Rue de Lancry
Rue de Lancry is a street in Paris, France, situated in the 10th arrondissement near major transport links and known for its mix of cafés, shops, and residential buildings.
-
E.
Rue du Bac
Rue du Bac is a historic street in Paris, France, known for its elegant architecture, upscale shops, and proximity to landmarks such as the Musée d'Orsay and the Seine.
- 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_69d6aa8769b4819082bfe5e61b9017f0 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7709f92088190a15ae3638d3b14fb |
completed | April 9, 2026, 9:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feadf5e520819090c3211a1992d463 |
completed | May 9, 2026, 3:45 a.m. |
Created at: April 8, 2026, 9:22 p.m.