Triple
T20719131
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ancre River |
E509261
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object |
Dernancourt
Dernancourt is a commune in the Somme department of northern France, known for its World War I battlefields and cemetery.
|
E1449268
|
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: Dernancourt | Statement: [Ancre River, flowsThrough, Dernancourt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dernancourt Context triple: [Ancre River, flowsThrough, Dernancourt]
-
A.
Voujeaucourt
Voujeaucourt is a commune in eastern France’s Bourgogne-Franche-Comté region, situated near Montbéliard in the Doubs department.
-
B.
Gravelotte
Gravelotte is a village in northeastern France best known as the site of a major 1870 Franco-Prussian War battle.
-
C.
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.
-
D.
Somme-Leuze
Somme-Leuze is a rural municipality in the Walloon region of Belgium, located in the hilly Condroz area and known for its scenic countryside and small villages.
-
E.
Juvancourt
Juvancourt is a small commune in the Aube department in north-central France.
- 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: Dernancourt Triple: [Ancre River, flowsThrough, Dernancourt]
Generated description
Dernancourt is a commune in the Somme department of northern France, known for its World War I battlefields and cemetery.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dernancourt Target entity description: Dernancourt is a commune in the Somme department of northern France, known for its World War I battlefields and cemetery.
-
A.
Voujeaucourt
Voujeaucourt is a commune in eastern France’s Bourgogne-Franche-Comté region, situated near Montbéliard in the Doubs department.
-
B.
Gravelotte
Gravelotte is a village in northeastern France best known as the site of a major 1870 Franco-Prussian War battle.
-
C.
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.
-
D.
Somme-Leuze
Somme-Leuze is a rural municipality in the Walloon region of Belgium, located in the hilly Condroz area and known for its scenic countryside and small villages.
-
E.
Juvancourt
Juvancourt is a small commune in the Aube department in north-central France.
- 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_69e0b4c4cc648190b45fda6e2b20af56 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c1d39bec8190b3642b0d6d833375 |
completed | April 21, 2026, 12:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08e830bdf481908a62eb5085fd7d76 |
completed | May 16, 2026, 9:57 p.m. |
| NEDg | Description generation | batch_6a08ec9fc4a48190b45848c8912e7ffb |
completed | May 16, 2026, 10:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08ed2d4a7481908f4e73c745039616 |
completed | May 16, 2026, 10:18 p.m. |
Created at: April 16, 2026, 12:26 p.m.