Triple
T2381509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paris Métro Line 14 |
E46320
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
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.
|
E261662
|
NE FINISHED |
How this triple was built (4 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 | Statement: [Paris Métro Line 14, hasStation, Bercy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bercy Context triple: [Paris Métro Line 14, hasStation, Bercy]
-
A.
Saverne
Saverne is a historic town in northeastern France, known for its canal, rose gardens, and the Château des Rohan.
-
B.
Ermenonville
Ermenonville is a village in northern France known for its picturesque landscape garden and as the place where philosopher Jean-Jacques Rousseau spent his final days.
-
C.
Sauvy
Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
-
D.
Bois de Vincennes
Bois de Vincennes is a large public park on the eastern edge of Paris, France, known for its woodlands, lakes, recreational facilities, and historical role as a former royal hunting ground.
-
E.
Champ-du-Moulin
Champ-du-Moulin is a small hamlet in the Areuse gorge in the canton of Neuchâtel, Switzerland, known for its scenic river landscape and hiking trails.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Bercy Triple: [Paris Métro Line 14, hasStation, Bercy]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bercy Target entity description: 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.
-
A.
Saverne
Saverne is a historic town in northeastern France, known for its canal, rose gardens, and the Château des Rohan.
-
B.
Ermenonville
Ermenonville is a village in northern France known for its picturesque landscape garden and as the place where philosopher Jean-Jacques Rousseau spent his final days.
-
C.
Sauvy
Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
-
D.
Bois de Vincennes
Bois de Vincennes is a large public park on the eastern edge of Paris, France, known for its woodlands, lakes, recreational facilities, and historical role as a former royal hunting ground.
-
E.
Champ-du-Moulin
Champ-du-Moulin is a small hamlet in the Areuse gorge in the canton of Neuchâtel, Switzerland, known for its scenic river landscape and hiking trails.
- F. None of above. chosen
Provenance (5 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_69a88a1554a48190a0180682bcf099be |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abc7b98c988190abdb4fe51bf65bde |
completed | March 7, 2026, 6:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aea8b4f85c81909e5a4eda271b73ca |
completed | March 9, 2026, 11:02 a.m. |
| NEDg | Description generation | batch_69aeac747e488190aea9b1831ea748a8 |
completed | March 9, 2026, 11:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69aeadb6008481909bf1e5d1210a58b8 |
completed | March 9, 2026, 11:23 a.m. |
Created at: March 4, 2026, 7:57 p.m.