Triple
T10754778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rouen tramway |
E253661
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object |
Bihorel
Bihorel is a suburban commune in northern France, located near Rouen and integrated into its public transport network.
|
E884437
|
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: Bihorel | Statement: [Rouen tramway, serves, Bihorel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bihorel Context triple: [Rouen tramway, serves, Bihorel]
-
A.
Buthier
Buthier is a river in Italy’s Aosta Valley that flows through the city of Aosta before joining the Dora Baltea.
-
B.
Bédoin
Bédoin is a village in southeastern France’s Vaucluse department, best known as a classic starting point for cyclists ascending Mont Ventoux.
-
C.
Bongrand
Bongrand is a fictional character in Émile Zola’s novel *L’Œuvre*, depicted as an older, established painter who contrasts with the avant-garde ambitions of the protagonist.
-
D.
Birmandreis
Birmandreis is a district in Algiers, Algeria, historically notable as the birthplace of Marxist philosopher Louis Althusser.
-
E.
Sauvy
Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
- 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: Bihorel Triple: [Rouen tramway, serves, Bihorel]
Generated description
Bihorel is a suburban commune in northern France, located near Rouen and integrated into its public transport network.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bihorel Target entity description: Bihorel is a suburban commune in northern France, located near Rouen and integrated into its public transport network.
-
A.
Buthier
Buthier is a river in Italy’s Aosta Valley that flows through the city of Aosta before joining the Dora Baltea.
-
B.
Bédoin
Bédoin is a village in southeastern France’s Vaucluse department, best known as a classic starting point for cyclists ascending Mont Ventoux.
-
C.
Bongrand
Bongrand is a fictional character in Émile Zola’s novel *L’Œuvre*, depicted as an older, established painter who contrasts with the avant-garde ambitions of the protagonist.
-
D.
Birmandreis
Birmandreis is a district in Algiers, Algeria, historically notable as the birthplace of Marxist philosopher Louis Althusser.
-
E.
Sauvy
Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
- 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_69d6aa5e51e8819095f06881cecf152e |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d72e9d0f688190a9be024929d2f960 |
completed | April 9, 2026, 4:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de2338b2cc8190ad40ff9a421a4152 |
completed | April 14, 2026, 11:21 a.m. |
| NEDg | Description generation | batch_69de271ee56c81908d2f690f31c2d2db |
completed | April 14, 2026, 11:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69de2dff4a048190823c8b5f1f7ea548 |
completed | April 14, 2026, 12:07 p.m. |
Created at: April 8, 2026, 9:15 p.m.