Triple
T18535557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Georges Leygues |
E452956
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Leygues
Leygues is a French surname most notably associated with Georges Leygues, a prominent early 20th-century French politician and statesman.
|
E1328781
|
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: Leygues | Statement: [Georges Leygues, familyName, Leygues]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leygues Context triple: [Georges Leygues, familyName, Leygues]
-
A.
Léguer
The Léguer is a river in the Côtes-d'Armor department of Brittany in northwestern France, known for flowing through the town of Lannion and its scenic, natural landscapes.
-
B.
Graslei
Graslei is a historic quay along the Leie River in the center of Ghent, Belgium, renowned for its picturesque row of medieval guild houses and vibrant café culture.
-
C.
Landais
Landais is a regional variety of the Gascon Occitan language traditionally spoken in parts of southwestern France.
-
D.
Leyhof
Leyhof is a residential neighborhood in the Dutch town of Leiderdorp, located in the province of South Holland.
-
E.
Leme
Leme is a beachfront neighborhood in Rio de Janeiro known for its quieter stretch of sand adjoining Copacabana and its scenic views of the Atlantic and surrounding hills.
- 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: Leygues Triple: [Georges Leygues, familyName, Leygues]
Generated description
Leygues is a French surname most notably associated with Georges Leygues, a prominent early 20th-century French politician and statesman.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Leygues Target entity description: Leygues is a French surname most notably associated with Georges Leygues, a prominent early 20th-century French politician and statesman.
-
A.
Léguer
The Léguer is a river in the Côtes-d'Armor department of Brittany in northwestern France, known for flowing through the town of Lannion and its scenic, natural landscapes.
-
B.
Graslei
Graslei is a historic quay along the Leie River in the center of Ghent, Belgium, renowned for its picturesque row of medieval guild houses and vibrant café culture.
-
C.
Landais
Landais is a regional variety of the Gascon Occitan language traditionally spoken in parts of southwestern France.
-
D.
Leyhof
Leyhof is a residential neighborhood in the Dutch town of Leiderdorp, located in the province of South Holland.
-
E.
Leme
Leme is a beachfront neighborhood in Rio de Janeiro known for its quieter stretch of sand adjoining Copacabana and its scenic views of the Atlantic and surrounding hills.
- 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_69d8d387b5548190aa030dad2cb4947e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5340193588190ace2c09c6a94cf81 |
completed | April 19, 2026, 7:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a04917d2530819085469bde7a83c138 |
completed | May 13, 2026, 2:58 p.m. |
| NEDg | Description generation | batch_6a0492594a248190941912120fb77acb |
completed | May 13, 2026, 3:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0492d4811c8190ad177b5d52aba66c |
completed | May 13, 2026, 3:03 p.m. |
Created at: April 10, 2026, 11:37 a.m.