Triple
T1504238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Treaty of Nijmegen |
E33862
|
entity |
| Predicate | grantedTerritory |
P22232
|
FINISHED |
| Object |
Cassel
Cassel is a historic town in northern France’s Nord department, known for its strategic hilltop location and role in Franco-Dutch and Franco-Spanish conflicts.
|
E178867
|
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: Cassel | Statement: [Treaty of Nijmegen, grantedTerritory, Cassel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cassel Context triple: [Treaty of Nijmegen, grantedTerritory, Cassel]
-
A.
Casteau
Casteau is a village in Belgium best known as the site of NATO’s Supreme Headquarters Allied Powers Europe (SHAPE).
-
B.
Nevers
Nevers is a historic city in central France known for its medieval architecture, religious heritage, and traditional faience pottery.
-
C.
Louvois
Louvois was a powerful French statesman, best known as Louis XIV’s influential war minister who significantly shaped France’s military administration in the late 17th century.
-
D.
Montauban
Montauban is a historic city in southern France known for its red-brick architecture and role as the capital of the Tarn-et-Garonne department.
-
E.
Roanne
Roanne is a commune and industrial town in central France, situated on the Loire River and known historically for its textile industry and river port.
- 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: Cassel Triple: [Treaty of Nijmegen, grantedTerritory, Cassel]
Generated description
Cassel is a historic town in northern France’s Nord department, known for its strategic hilltop location and role in Franco-Dutch and Franco-Spanish conflicts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cassel Target entity description: Cassel is a historic town in northern France’s Nord department, known for its strategic hilltop location and role in Franco-Dutch and Franco-Spanish conflicts.
-
A.
Casteau
Casteau is a village in Belgium best known as the site of NATO’s Supreme Headquarters Allied Powers Europe (SHAPE).
-
B.
Nevers
Nevers is a historic city in central France known for its medieval architecture, religious heritage, and traditional faience pottery.
-
C.
Louvois
Louvois was a powerful French statesman, best known as Louis XIV’s influential war minister who significantly shaped France’s military administration in the late 17th century.
-
D.
Montauban
Montauban is a historic city in southern France known for its red-brick architecture and role as the capital of the Tarn-et-Garonne department.
-
E.
Roanne
Roanne is a commune and industrial town in central France, situated on the Loire River and known historically for its textile industry and river port.
- 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_69a885f352a4819099b24ff15489dede |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a88731a8f081908b8facef7b602c02 |
completed | March 4, 2026, 7:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad40136c448190836426aa203590a8 |
completed | March 8, 2026, 9:23 a.m. |
| NEDg | Description generation | batch_69ad40f485e481909e801cdd3da3c27b |
completed | March 8, 2026, 9:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad415932f4819083639af0e0836345 |
completed | March 8, 2026, 9:28 a.m. |
Created at: March 4, 2026, 7:24 p.m.