Triple

T9290891
Position Surface form Disambiguated ID Type / Status
Subject canton of Le Cateau-Cambrésis E223512 entity
Predicate containsAdministrativeTerritorialEntity P747 FINISHED
Object Dehéries
Dehéries is a small commune in the Nord department of northern France.
E790669 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: Dehéries | Statement: [canton of Le Cateau-Cambrésis, containsAdministrativeTerritorialEntity, Dehéries]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dehéries
Context triple: [canton of Le Cateau-Cambrésis, containsAdministrativeTerritorialEntity, Dehéries]
  • A. Debourg
    Debourg is a tram terminus and transport hub in Lyon, France, serving as one end of the city’s T1 tram line.
  • B. Audinghen
    Audinghen is a small coastal commune in northern France known for its proximity to the scenic Cap Gris-Nez headland on the English Channel.
  • C. Deshays
    Deshays is a French surname most notably associated with the 18th-century painter Jean-Baptiste Deshays.
  • D. Taradeau
    Taradeau is a small commune in the Var department of southeastern France, known for its Provençal countryside, vineyards, and proximity to the Massif des Maures.
  • E. Dinant
    Dinant is a picturesque Belgian town in Wallonia known for its dramatic cliffs along the Meuse River, its citadel, and as the birthplace of saxophone inventor Adolphe Sax.
  • 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: Dehéries
Triple: [canton of Le Cateau-Cambrésis, containsAdministrativeTerritorialEntity, Dehéries]
Generated description
Dehéries is a small commune in the Nord department of northern France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dehéries
Target entity description: Dehéries is a small commune in the Nord department of northern France.
  • A. Debourg
    Debourg is a tram terminus and transport hub in Lyon, France, serving as one end of the city’s T1 tram line.
  • B. Audinghen
    Audinghen is a small coastal commune in northern France known for its proximity to the scenic Cap Gris-Nez headland on the English Channel.
  • C. Deshays
    Deshays is a French surname most notably associated with the 18th-century painter Jean-Baptiste Deshays.
  • D. Taradeau
    Taradeau is a small commune in the Var department of southeastern France, known for its Provençal countryside, vineyards, and proximity to the Massif des Maures.
  • E. Dinant
    Dinant is a picturesque Belgian town in Wallonia known for its dramatic cliffs along the Meuse River, its citadel, and as the birthplace of saxophone inventor Adolphe Sax.
  • 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_69ca8422ddf881908a3f8f876c9f53aa completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd0865a7108190b807afd259980db2 completed April 1, 2026, 11:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0b2381e2c8190acbecf97dea1200c completed April 4, 2026, 6:39 a.m.
NEDg Description generation batch_69d0b3a2b6f481908b0528f6fa67535b completed April 4, 2026, 6:45 a.m.
NED2 Entity disambiguation (via description) batch_69d0b7944adc819080b3a90878dd7203 completed April 4, 2026, 7:02 a.m.
Created at: March 30, 2026, 7:35 p.m.