Triple

T22021572
Position Surface form Disambiguated ID Type / Status
Subject Arrondissement of Dunkirk E543857 entity
Predicate contains P35 FINISHED
Object Esquelbecq
Esquelbecq is a small rural commune in northern France’s Nord department, known for its traditional Flemish character and historic village center.
E1514090 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: Esquelbecq | Statement: [Arrondissement of Dunkirk, contains, Esquelbecq]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Esquelbecq
Context triple: [Arrondissement of Dunkirk, contains, Esquelbecq]
  • A. Baulmes
    Baulmes is a Swiss village and municipality in the canton of Vaud, situated near the Jura Mountains and known for its scenic rural landscape.
  • B. Bibertal
    Bibertal is a municipality in the Bavarian region of Swabia in southern Germany.
  • C. Debourg
    Debourg is a tram terminus and transport hub in Lyon, France, serving as one end of the city’s T1 tram line.
  • D. Boechout
    Boechout is a municipality in the Belgian province of Antwerp, known for its suburban character and proximity to the city of Antwerp.
  • E. Roquebillière
    Roquebillière is a small commune in southeastern France, situated in the Alpes-Maritimes department in the Provence-Alpes-Côte d’Azur region.
  • 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: Esquelbecq
Triple: [Arrondissement of Dunkirk, contains, Esquelbecq]
Generated description
Esquelbecq is a small rural commune in northern France’s Nord department, known for its traditional Flemish character and historic village center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Esquelbecq
Target entity description: Esquelbecq is a small rural commune in northern France’s Nord department, known for its traditional Flemish character and historic village center.
  • A. Baulmes
    Baulmes is a Swiss village and municipality in the canton of Vaud, situated near the Jura Mountains and known for its scenic rural landscape.
  • B. Bibertal
    Bibertal is a municipality in the Bavarian region of Swabia in southern Germany.
  • C. Debourg
    Debourg is a tram terminus and transport hub in Lyon, France, serving as one end of the city’s T1 tram line.
  • D. Boechout
    Boechout is a municipality in the Belgian province of Antwerp, known for its suburban character and proximity to the city of Antwerp.
  • E. Roquebillière
    Roquebillière is a small commune in southeastern France, situated in the Alpes-Maritimes department in the Provence-Alpes-Côte d’Azur region.
  • 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_69e11e2e8ea4819084210fe06d3a1b8d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127c7b3308190ac056bef6f82722e completed April 28, 2026, 9:33 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a738527b481908b8f5aeb7d4cf5c7 completed May 18, 2026, 2:03 a.m.
NEDg Description generation batch_6a0a745e534881909a681b9f2234afa5 completed May 18, 2026, 2:07 a.m.
NED2 Entity disambiguation (via description) batch_6a0a7857e6dc819088b592cdff7d4cf3 completed May 18, 2026, 2:24 a.m.
Created at: April 16, 2026, 8:23 p.m.