Triple

T16469913
Position Surface form Disambiguated ID Type / Status
Subject Canton of Moreuil E400032 entity
Predicate containsCommune P15149 FINISHED
Object Ablaincourt-Pressoir
Ablaincourt-Pressoir is a small rural commune in the Somme department of northern France, known for its agricultural landscape and World War I history.
 E1215449 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: Ablaincourt-Pressoir | Statement: [Canton of Moreuil, containsCommune, Ablaincourt-Pressoir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ablaincourt-Pressoir
Context triple: [Canton of Moreuil, containsCommune, Ablaincourt-Pressoir]
  • A. Blignicourt
    Blignicourt is a small commune in the Aube department of north-central France.
  • B. Morlaincourt
    Morlaincourt is a small commune in northeastern France, likely known locally for its rural character and proximity to the Yonne river’s headwaters.
  • C. Maurecourt
    Maurecourt is a small suburban commune in the Yvelines department of north-central France, located in the western outskirts of the Paris metropolitan area.
  • D. Juvancourt
    Juvancourt is a small commune in the Aube department in north-central France.
  • E. Bétignicourt
    Bétignicourt 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: Ablaincourt-Pressoir
Triple: [Canton of Moreuil, containsCommune, Ablaincourt-Pressoir]
Generated description
Ablaincourt-Pressoir is a small rural commune in the Somme department of northern France, known for its agricultural landscape and World War I history.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ablaincourt-Pressoir
Target entity description: Ablaincourt-Pressoir is a small rural commune in the Somme department of northern France, known for its agricultural landscape and World War I history.
  • A. Blignicourt
    Blignicourt is a small commune in the Aube department of north-central France.
  • B. Morlaincourt
    Morlaincourt is a small commune in northeastern France, likely known locally for its rural character and proximity to the Yonne river’s headwaters.
  • C. Maurecourt
    Maurecourt is a small suburban commune in the Yvelines department of north-central France, located in the western outskirts of the Paris metropolitan area.
  • D. Juvancourt
    Juvancourt is a small commune in the Aube department in north-central France.
  • E. Bétignicourt
    Bétignicourt 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_69d87f2dac988190b74d6e185fa88ba4 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32dcfed6c8190b8dbe4b65b0ab817 completed April 18, 2026, 7:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004f5af4308190bd023624de35027f completed May 10, 2026, 9:26 a.m.
NEDg Description generation batch_6a0050c5d4548190a674c1c19f08a9fd completed May 10, 2026, 9:32 a.m.
NED2 Entity disambiguation (via description) batch_6a0051a7ae208190b33d42cc8d4bb21f completed May 10, 2026, 9:36 a.m.
Created at: April 10, 2026, 5:11 a.m.