Triple
T1151496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CAC 40 |
E23686
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object |
Vinci
Vinci is a major French concessions and construction company and one of the largest infrastructure and engineering groups in the world.
|
E131991
|
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: Vinci | Statement: [CAC 40, hasComponent, Vinci]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vinci Context triple: [CAC 40, hasComponent, Vinci]
-
A.
Vinci
Vinci is a small Tuscan town in Italy best known as the birthplace of Renaissance polymath Leonardo da Vinci.
-
B.
Leonardo
Leonardo is the first name of Leonardo DiCaprio, the acclaimed American actor and environmental activist known for films such as Titanic and Inception.
-
C.
Cour Carrée
Cour Carrée is the large, historic square courtyard at the eastern end of the Louvre in Paris, surrounded by classical palace façades that reflect the museum’s origins as a royal residence.
-
D.
Vauban
Vauban was a renowned 17th-century French military engineer and Marshal of France, famous for revolutionizing fortification design and siege warfare under Louis XIV.
-
E.
de Bèze
De Bèze is the French family name of Théodore de Bèze (Theodore Beza), a prominent 16th-century Protestant Reformer and successor to John Calvin in Geneva.
- 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: Vinci Triple: [CAC 40, hasComponent, Vinci]
Generated description
Vinci is a major French concessions and construction company and one of the largest infrastructure and engineering groups in the world.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vinci Target entity description: Vinci is a major French concessions and construction company and one of the largest infrastructure and engineering groups in the world.
-
A.
Vinci
Vinci is a small Tuscan town in Italy best known as the birthplace of Renaissance polymath Leonardo da Vinci.
-
B.
Leonardo
Leonardo is the first name of Leonardo DiCaprio, the acclaimed American actor and environmental activist known for films such as Titanic and Inception.
-
C.
Cour Carrée
Cour Carrée is the large, historic square courtyard at the eastern end of the Louvre in Paris, surrounded by classical palace façades that reflect the museum’s origins as a royal residence.
-
D.
Vauban
Vauban was a renowned 17th-century French military engineer and Marshal of France, famous for revolutionizing fortification design and siege warfare under Louis XIV.
-
E.
de Bèze
De Bèze is the French family name of Théodore de Bèze (Theodore Beza), a prominent 16th-century Protestant Reformer and successor to John Calvin in Geneva.
- 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_69a493f0d32c8190ac74bad3c87f2641 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bc744e7c81908f8612f2aad28600 |
completed | March 1, 2026, 10:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac5eb5d36c8190916a43a5f41df144 |
completed | March 7, 2026, 5:21 p.m. |
| NEDg | Description generation | batch_69ac5f4756b08190b3dbaf64a9351836 |
completed | March 7, 2026, 5:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac600f78148190bd3109276f7b9e3a |
completed | March 7, 2026, 5:27 p.m. |
Created at: March 1, 2026, 7:44 p.m.