Triple
T17070603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Accor Arena |
E414206
|
entity |
| Predicate | publicTransitAccess |
P1288
|
FINISHED |
| Object | Gare de Bercy |
E465864
|
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: Gare de Bercy | Statement: [Accor Arena, publicTransitAccess, Gare de Bercy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gare de Bercy Context triple: [Accor Arena, publicTransitAccess, Gare de Bercy]
-
A.
Gare de Paris-Bercy
chosen
Gare de Paris-Bercy is a smaller Paris railway station primarily serving intercity and regional trains, including many to central and southern France, and often used as an overflow or backup to larger Paris terminals.
-
B.
Gare de Javel
Gare de Javel is a Parisian commuter rail station in the 15th arrondissement that serves local and regional passengers along the Seine.
-
C.
Gare du Stade
Gare du Stade is a local railway station serving the suburb of Colombes in the northwestern outskirts of Paris, France.
-
D.
Gare de Colombes
Gare de Colombes is a suburban railway station in Colombes, France, serving regional commuter trains in the Paris metropolitan area.
-
E.
Gare de Lyon
Gare de Lyon is one of Paris’s major railway terminals, serving high-speed and regional trains to southeastern France and international destinations.
- 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_69d886cef44c8190ba56c44b4e863e64 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbc0982c8190916f9905ddb5e575 |
completed | April 18, 2026, 7:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a014823d0a8819095491aef9b258971 |
completed | May 11, 2026, 3:08 a.m. |
Created at: April 10, 2026, 5:34 a.m.