Triple

T9290912
Position Surface form Disambiguated ID Type / Status
Subject canton of Le Cateau-Cambrésis E223512 entity
Predicate containsAdministrativeTerritorialEntity P747 FINISHED
Object Saint-Souplet
Saint-Souplet is a commune in northern France, located in the Nord department within the Hauts-de-France region.
E798800 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: Saint-Souplet | Statement: [canton of Le Cateau-Cambrésis, containsAdministrativeTerritorialEntity, Saint-Souplet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saint-Souplet
Context triple: [canton of Le Cateau-Cambrésis, containsAdministrativeTerritorialEntity, Saint-Souplet]
  • A. Saulieu
    Saulieu is a small historic town in eastern France’s Burgundy region, known as a gateway to the Morvan hills and for its traditional gastronomy.
  • B. Saulx-les-Chartreux
    Saulx-les-Chartreux is a commune in the Essonne department in the Île-de-France region of northern France.
  • C. Bourg-Saint-Pierre
    Bourg-Saint-Pierre is a small Swiss village in the canton of Valais, known as a historic stop on the Great St. Bernard Pass near the Italian border.
  • D. Souvigny
    Souvigny is a historic town in central France known for its important Cluniac priory and medieval religious heritage.
  • E. Tournan
    Tournan is a suburban town in the Île-de-France region of France that serves as an outer terminus for Paris’s RER commuter rail network.
  • 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: Saint-Souplet
Triple: [canton of Le Cateau-Cambrésis, containsAdministrativeTerritorialEntity, Saint-Souplet]
Generated description
Saint-Souplet is a commune in northern France, located in the Nord department within the Hauts-de-France region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Saint-Souplet
Target entity description: Saint-Souplet is a commune in northern France, located in the Nord department within the Hauts-de-France region.
  • A. Saulieu
    Saulieu is a small historic town in eastern France’s Burgundy region, known as a gateway to the Morvan hills and for its traditional gastronomy.
  • B. Saulx-les-Chartreux
    Saulx-les-Chartreux is a commune in the Essonne department in the Île-de-France region of northern France.
  • C. Bourg-Saint-Pierre
    Bourg-Saint-Pierre is a small Swiss village in the canton of Valais, known as a historic stop on the Great St. Bernard Pass near the Italian border.
  • D. Souvigny
    Souvigny is a historic town in central France known for its important Cluniac priory and medieval religious heritage.
  • E. Tournan
    Tournan is a suburban town in the Île-de-France region of France that serves as an outer terminus for Paris’s RER commuter rail network.
  • 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_69d1101359048190b37547d1fedb3bb1 completed April 4, 2026, 1:20 p.m.
NEDg Description generation batch_69d110ca72088190b9a65529801784a5 completed April 4, 2026, 1:23 p.m.
NED2 Entity disambiguation (via description) batch_69d1112224488190aeae685a1681539f completed April 4, 2026, 1:24 p.m.
Created at: March 30, 2026, 7:35 p.m.