Triple
T10759206
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rennes |
E253779
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Rue de Rennes |
E50210
|
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 Rennes | Statement: [Rennes, namedAfter, Rue de Rennes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rue de Rennes Context triple: [Rennes, namedAfter, Rue de Rennes]
-
A.
Rue de Rennes
chosen
Rue de Rennes is a major shopping and thoroughfare street in Paris’s 6th arrondissement, linking the Saint-Germain-des-Prés area to the Montparnasse district on the Left Bank.
-
B.
Rue de Lyon
Rue de Lyon is a major Parisian street in the 12th arrondissement that links Place de la Bastille to the Gare de Lyon, serving as an important thoroughfare for traffic and commerce.
-
C.
Rue de Lille
Rue de Lille is a notable street in Paris’s 7th arrondissement, running parallel to the Seine and known for its historic buildings and cultural institutions.
-
D.
Rue de Bourg
Rue de Bourg is a historic and popular shopping street in the center of Lausanne, Switzerland, known for its boutiques, cafés, and traditional architecture.
-
E.
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.
- 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_69d6aa5f54f4819082d0bbcb6f8797e6 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d72ea21c5081908babc049d0330a75 |
completed | April 9, 2026, 4:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd32359c54819098349d7d1c1e454f |
completed | May 8, 2026, 12:45 a.m. |
Created at: April 8, 2026, 9:16 p.m.