Triple
T15774522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | arrondissement of Lille |
E382452
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Wambrechies
Wambrechies is a commune in northern France known for its historic distillery, canal-side setting, and proximity to the city of Lille.
|
E1175624
|
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: Wambrechies | Statement: [arrondissement of Lille, contains, Wambrechies]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wambrechies Context triple: [arrondissement of Lille, contains, Wambrechies]
-
A.
Mondercange
Mondercange is a commune and small town in southwestern Luxembourg, known for hosting the headquarters and training center of the national football association.
-
B.
Isneauville
Isneauville is a small commune in northern France, situated in the Normandy region near the city of Rouen.
-
C.
Erquelinnes
Erquelinnes is a municipality in the province of Hainaut in Wallonia, Belgium, located near the French border along the Sambre River.
-
D.
Aire-sur-la-Lys
Aire-sur-la-Lys is a historic town in northern France’s Pas-de-Calais department, known for its medieval architecture and strategic location near the Lys River.
-
E.
Louviers
Louviers is a historic town in northern France’s Normandy region, known for its medieval architecture and former textile industry.
- 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: Wambrechies Triple: [arrondissement of Lille, contains, Wambrechies]
Generated description
Wambrechies is a commune in northern France known for its historic distillery, canal-side setting, and proximity to the city of Lille.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wambrechies Target entity description: Wambrechies is a commune in northern France known for its historic distillery, canal-side setting, and proximity to the city of Lille.
-
A.
Mondercange
Mondercange is a commune and small town in southwestern Luxembourg, known for hosting the headquarters and training center of the national football association.
-
B.
Isneauville
Isneauville is a small commune in northern France, situated in the Normandy region near the city of Rouen.
-
C.
Erquelinnes
Erquelinnes is a municipality in the province of Hainaut in Wallonia, Belgium, located near the French border along the Sambre River.
-
D.
Aire-sur-la-Lys
Aire-sur-la-Lys is a historic town in northern France’s Pas-de-Calais department, known for its medieval architecture and strategic location near the Lys River.
-
E.
Louviers
Louviers is a historic town in northern France’s Normandy region, known for its medieval architecture and former textile industry.
- 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_69d86da09a10819082fe9797b23e4664 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e05198c1588190a65e23c18443eb5c |
completed | April 16, 2026, 3:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff877e67b881908a67b9acc79d998f |
completed | May 9, 2026, 7:14 p.m. |
| NEDg | Description generation | batch_69ff88358e408190a8d7424fc495d4fa |
completed | May 9, 2026, 7:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff88f192a08190acbc2c3fc98c65c8 |
completed | May 9, 2026, 7:20 p.m. |
Created at: April 10, 2026, 4:47 a.m.