Triple
T11609769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City of Orchies |
E275351
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object |
Pévèle
Pévèle is a rural area in northern France known for its gently rolling farmland, small towns, and role as a traditional cobbled sector in the Paris–Roubaix cycling race.
|
E937046
|
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: Pévèle | Statement: [City of Orchies, region, Pévèle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pévèle Context triple: [City of Orchies, region, Pévèle]
-
A.
Juprelle
Juprelle is a municipality in the province of Liège in Wallonia, Belgium, known for its rural character and proximity to the city of Liège.
-
B.
Prévonloup
Prévonloup is a small municipality in the canton of Vaud in western Switzerland.
-
C.
Pervyse
Pervyse is a village in West Flanders, Belgium, known for its location on the World War I Yser Front and the heavy fighting that took place there.
-
D.
Plerguer
Plerguer is a small commune in the Ille-et-Vilaine department of Brittany in northwestern France.
-
E.
Demarete
Demarete was a 5th-century BCE Greek queen of Syracuse, known as the wife of the tyrant Gelon and remembered for her political influence and legendary generosity after the Battle of Himera.
- 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: Pévèle Triple: [City of Orchies, region, Pévèle]
Generated description
Pévèle is a rural area in northern France known for its gently rolling farmland, small towns, and role as a traditional cobbled sector in the Paris–Roubaix cycling race.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pévèle Target entity description: Pévèle is a rural area in northern France known for its gently rolling farmland, small towns, and role as a traditional cobbled sector in the Paris–Roubaix cycling race.
-
A.
Juprelle
Juprelle is a municipality in the province of Liège in Wallonia, Belgium, known for its rural character and proximity to the city of Liège.
-
B.
Prévonloup
Prévonloup is a small municipality in the canton of Vaud in western Switzerland.
-
C.
Pervyse
Pervyse is a village in West Flanders, Belgium, known for its location on the World War I Yser Front and the heavy fighting that took place there.
-
D.
Plerguer
Plerguer is a small commune in the Ille-et-Vilaine department of Brittany in northwestern France.
-
E.
Demarete
Demarete was a 5th-century BCE Greek queen of Syracuse, known as the wife of the tyrant Gelon and remembered for her political influence and legendary generosity after the Battle of Himera.
- 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_69d6aaf84b548190ac072e4fb89ae18f |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a04231d08190b8a07cd977d11ffa |
completed | April 10, 2026, 7:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ee872ee03481908a9d779a44ec5236 |
completed | April 26, 2026, 9:44 p.m. |
| NEDg | Description generation | batch_69ee9cf1cb2481908bc473c87bc42d60 |
completed | April 26, 2026, 11:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69eecd31894481908dbd55f605c693f9 |
completed | April 27, 2026, 2:42 a.m. |
Created at: April 8, 2026, 9:38 p.m.