Triple
T11391921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fricourt German war cemetery |
E269862
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Fricourt
Fricourt is a village in the Somme department of northern France, notable for its World War I battlefields and military cemeteries.
|
E923193
|
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: Fricourt | Statement: [Fricourt German war cemetery, locatedIn, Fricourt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fricourt Context triple: [Fricourt German war cemetery, locatedIn, Fricourt]
-
A.
Crépy-en-Valois
Crépy-en-Valois is a commune in the Oise department of northern France, known for its historic medieval center and role as a regional rail terminus.
-
B.
Armentières
Armentières is a commune in northern France near the Belgian border, historically known for its textile industry and World War I significance.
-
C.
Voisins-le-Bretonneux
Voisins-le-Bretonneux is a suburban commune in the Yvelines department of the Île-de-France region in north-central France.
-
D.
Brucheville
Brucheville is a small commune in the Manche department of northwestern France, situated in the Normandy region.
-
E.
Beauvechain
Beauvechain is a municipality in Walloon Brabant, Belgium, known for its rural character and the presence of a major Belgian Air Component base.
- 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: Fricourt Triple: [Fricourt German war cemetery, locatedIn, Fricourt]
Generated description
Fricourt is a village in the Somme department of northern France, notable for its World War I battlefields and military cemeteries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fricourt Target entity description: Fricourt is a village in the Somme department of northern France, notable for its World War I battlefields and military cemeteries.
-
A.
Crépy-en-Valois
Crépy-en-Valois is a commune in the Oise department of northern France, known for its historic medieval center and role as a regional rail terminus.
-
B.
Armentières
Armentières is a commune in northern France near the Belgian border, historically known for its textile industry and World War I significance.
-
C.
Voisins-le-Bretonneux
Voisins-le-Bretonneux is a suburban commune in the Yvelines department of the Île-de-France region in north-central France.
-
D.
Brucheville
Brucheville is a small commune in the Manche department of northwestern France, situated in the Normandy region.
-
E.
Beauvechain
Beauvechain is a municipality in Walloon Brabant, Belgium, known for its rural character and the presence of a major Belgian Air Component base.
- 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_69d6aacdbc6c8190af6dc3d5f5d22836 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d8001796f48190822526f52e3f0337 |
completed | April 9, 2026, 7:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e58c8f5ed88190b9cc55c0a73993ec |
completed | April 20, 2026, 2:16 a.m. |
| NEDg | Description generation | batch_69e5932d3cb88190807acdcdc3aaa9fc |
completed | April 20, 2026, 2:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e59a0ab7e081908cb8761c4f82c664 |
completed | April 20, 2026, 3:14 a.m. |
Created at: April 8, 2026, 9:34 p.m.