Triple

T20719130
Position Surface form Disambiguated ID Type / Status
Subject Ancre River E509261 entity
Predicate flowsThrough P225 FINISHED
Object Bouzincourt
Bouzincourt is a small commune in northern France’s Somme department, known for its rural setting and World War I history.
 E1447693 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: Bouzincourt | Statement: [Ancre River, flowsThrough, Bouzincourt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bouzincourt
Context triple: [Ancre River, flowsThrough, Bouzincourt]
  • A. Melincourt
    Melincourt is a small locality in Wales known for its scenic surroundings, including the nearby Melincourt Brook and waterfall.
  • B. Guignicourt
    Guignicourt is a commune in northern France located in the Aisne department in the Hauts-de-France region.
  • C. Pontois
    Pontois is the French demonym referring to inhabitants of the commune of Pont-de-l’Isère in southeastern France.
  • D. Gadancourt
    Gadancourt is a small commune in the Val-d'Oise department in the Île-de-France region of northern France.
  • E. Génicourt
    Génicourt is a French commune that forms part of the administrative area of the canton of Vauréal.
  • 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: Bouzincourt
Triple: [Ancre River, flowsThrough, Bouzincourt]
Generated description
Bouzincourt is a small commune in northern France’s Somme department, known for its rural setting and World War I history.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bouzincourt
Target entity description: Bouzincourt is a small commune in northern France’s Somme department, known for its rural setting and World War I history.
  • A. Melincourt
    Melincourt is a small locality in Wales known for its scenic surroundings, including the nearby Melincourt Brook and waterfall.
  • B. Guignicourt
    Guignicourt is a commune in northern France located in the Aisne department in the Hauts-de-France region.
  • C. Pontois
    Pontois is the French demonym referring to inhabitants of the commune of Pont-de-l’Isère in southeastern France.
  • D. Gadancourt
    Gadancourt is a small commune in the Val-d'Oise department in the Île-de-France region of northern France.
  • E. Génicourt
    Génicourt is a French commune that forms part of the administrative area of the canton of Vauréal.
  • 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_6a08e0552fe88190aa5557fa83b7ed40 completed May 16, 2026, 9:23 p.m.
NEDg Description generation batch_6a08e4808ac881908d527d462833ba84 completed May 16, 2026, 9:41 p.m.
NED2 Entity disambiguation (via description) batch_6a08e4eccb0881908e536964d86650d1 completed May 16, 2026, 9:43 p.m.
Created at: April 16, 2026, 12:26 p.m.