Triple
T10147149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | French Ministry of Finance |
E231732
|
entity |
| Predicate | headquartersLocation |
P62
|
FINISHED |
| Object | Bercy, Paris |
E828811
|
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: Bercy, Paris | Statement: [French Ministry of Finance, headquartersLocation, Bercy, Paris]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bercy, Paris Context triple: [French Ministry of Finance, headquartersLocation, Bercy, Paris]
-
A.
Bercy
Bercy is a Paris Métro station serving the Bercy district, known for its proximity to the Accor Arena and the Ministry of the Economy and Finance.
-
B.
Billancourt
Billancourt is a Paris Métro station in Boulogne-Billancourt serving the western suburbs of the French capital.
-
C.
Parc de Bercy
Parc de Bercy is a large contemporary urban park in eastern Paris known for its landscaped gardens, ponds, and cultural venues near the Seine.
-
D.
Bercy station
chosen
Bercy station is a Paris Métro and railway station in the 12th arrondissement that serves the Bercy district and provides access to major venues and intercity train services.
-
E.
Vitry-sur-Seine
Vitry-sur-Seine is a suburban commune in the southeastern outskirts of Paris, France, known for its large population and prominent role in the Val-de-Marne department.
- 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_69ca848364f881908a24366a6feec1db |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cdec011c24819089b456fc8b9ed80c |
completed | April 2, 2026, 4:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2e62c1984819095fcb239f11731b4 |
completed | April 5, 2026, 10:46 p.m. |
Created at: March 30, 2026, 9:07 p.m.