Triple
T22442558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | County of Vermandois |
E554787
|
entity |
| Predicate | importantCity |
P3940
|
FINISHED |
| Object |
Vermand
Vermand is a historic commune in northern France that served as an early medieval center and former capital of the County of Vermandois.
|
E1537685
|
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: Vermand | Statement: [County of Vermandois, importantCity, Vermand]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vermand Context triple: [County of Vermandois, importantCity, Vermand]
-
A.
Mandeure
Mandeure is a commune in eastern France known for its rich Gallo-Roman heritage, including the remains of a large ancient theater.
-
B.
Grimault
Grimault is a French surname most notably borne by the influential animator and film director Paul Grimault.
-
C.
Saint-Victurnien
Saint-Victurnien is a small commune in the Haute-Vienne department of west-central France, known for its rural character and location along the Vienne River.
-
D.
Parmain
Parmain is a commune in the Val-d'Oise department in northern France, situated in the suburbs of Paris.
-
E.
Kevelaer
Kevelaer is a renowned German pilgrimage town in North Rhine-Westphalia, famous as one of Europe’s most important Marian shrines and a major destination for Catholic pilgrims.
- 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: Vermand Triple: [County of Vermandois, importantCity, Vermand]
Generated description
Vermand is a historic commune in northern France that served as an early medieval center and former capital of the County of Vermandois.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vermand Target entity description: Vermand is a historic commune in northern France that served as an early medieval center and former capital of the County of Vermandois.
-
A.
Mandeure
Mandeure is a commune in eastern France known for its rich Gallo-Roman heritage, including the remains of a large ancient theater.
-
B.
Grimault
Grimault is a French surname most notably borne by the influential animator and film director Paul Grimault.
-
C.
Saint-Victurnien
Saint-Victurnien is a small commune in the Haute-Vienne department of west-central France, known for its rural character and location along the Vienne River.
-
D.
Parmain
Parmain is a commune in the Val-d'Oise department in northern France, situated in the suburbs of Paris.
-
E.
Kevelaer
Kevelaer is a renowned German pilgrimage town in North Rhine-Westphalia, famous as one of Europe’s most important Marian shrines and a major destination for Catholic pilgrims.
- 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_69e11e5010e48190ae1e9c9db9697637 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15ae2f7608190b1c1e8bd12ca2162 |
completed | April 29, 2026, 1:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b0c71f74881909b8f61494a07dfb2 |
completed | May 18, 2026, 12:56 p.m. |
| NEDg | Description generation | batch_6a0b0d5ddfd48190a9ed7dc41035f866 |
completed | May 18, 2026, 1 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b0dc247b88190b8c54084c5727941 |
completed | May 18, 2026, 1:01 p.m. |
Created at: April 16, 2026, 8:47 p.m.