Triple
T2976773
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | European Quarter |
E80416
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Rue de la Loi |
E166132
|
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 de la Loi | Statement: [European Quarter, contains, Rue de la Loi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rue de la Loi Context triple: [European Quarter, contains, Rue de la Loi]
-
A.
Rue de la Loi
chosen
Rue de la Loi is a major thoroughfare in Brussels, Belgium, known for housing key European Union institutions and Belgian government buildings.
-
B.
Rue de Maubeuge
Rue de Maubeuge is a street in Paris, France, known for its proximity to major railway stations like Gare du Nord and its typical Haussmann-era urban architecture.
-
C.
Rue de Trèves
Rue de Trèves is a central street in Brussels’ European Quarter, known for its proximity to key European Union institutions and the Place du Luxembourg.
-
D.
Rue de Varenne
Rue de Varenne is a notable street in Paris’s 7th arrondissement, known for its grand hôtels particuliers and role as a center of French political and administrative power.
-
E.
Rue de Valois
Rue de Valois is a street in central Paris located near the Palais-Royal and the Louvre, known for its proximity to major cultural and governmental institutions.
- 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_69ad8b15f6ac8190be5fd16a33edcb4f |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad998c589c8190b4530f3fb8975187 |
completed | March 8, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bb808e7f94819086fbad85d6aed33e |
completed | March 19, 2026, 4:50 a.m. |
Created at: March 8, 2026, 2:58 p.m.