Triple

T13655089
Position Surface form Disambiguated ID Type / Status
Subject canton of Vauréal E326839 entity
Predicate containsAdministrativeTerritorialEntity P747 FINISHED
Object Seraincourt
Seraincourt is a small commune in the Val-d'Oise department in the Île-de-France region of northern France.
 E1052879 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: Seraincourt | Statement: [canton of Vauréal, containsAdministrativeTerritorialEntity, Seraincourt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Seraincourt
Context triple: [canton of Vauréal, containsAdministrativeTerritorialEntity, Seraincourt]
  • A. Dolancourt
    Dolancourt is a small commune in northeastern France’s Grand Est region, known for hosting the Nigloland amusement park.
  • 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. Hampigny
    Hampigny is a small commune in the Aube department of north-central France.
  • D. Beaucourt
    Beaucourt is a small French commune located in the northeastern region of Bourgogne-Franche-Comté near the Swiss border.
  • E. Flixecourt
    Flixecourt is a small commune in northern France known historically for its textile industry and proximity to the Somme River.
  • 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: Seraincourt
Triple: [canton of Vauréal, containsAdministrativeTerritorialEntity, Seraincourt]
Generated description
Seraincourt is a small commune in the Val-d'Oise department in the Île-de-France region of northern France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Seraincourt
Target entity description: Seraincourt is a small commune in the Val-d'Oise department in the Île-de-France region of northern France.
  • A. Dolancourt
    Dolancourt is a small commune in northeastern France’s Grand Est region, known for hosting the Nigloland amusement park.
  • 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. Hampigny
    Hampigny is a small commune in the Aube department of north-central France.
  • D. Beaucourt
    Beaucourt is a small French commune located in the northeastern region of Bourgogne-Franche-Comté near the Swiss border.
  • E. Flixecourt
    Flixecourt is a small commune in northern France known historically for its textile industry and proximity to the Somme River.
  • 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_69d8076d8270819092afc2f0e9c359a8 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc60ace048190a4b92310ba272bd1 completed April 12, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78b03083c8190855a2a4ee44e4098 completed May 3, 2026, 5:50 p.m.
NEDg Description generation batch_69f78c0030e481909c20f21ddaa480dc completed May 3, 2026, 5:55 p.m.
NED2 Entity disambiguation (via description) batch_69f78d6d74bc8190ad5476a06e8fd8ad completed May 3, 2026, 6:01 p.m.
Created at: April 9, 2026, 9:52 p.m.