Triple

T7091451
Position Surface form Disambiguated ID Type / Status
Subject Arrondissement of Caen E165203 entity
Predicate contains P35 FINISHED
Object Colombelles
Colombelles is a commune in the Calvados department of the Normandy region in northwestern France, situated near the city of Caen.
E645332 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: Colombelles | Statement: [Arrondissement of Caen, contains, Colombelles]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Colombelles
Context triple: [Arrondissement of Caen, contains, Colombelles]
  • A. Cornillon
    Cornillon is a commune-level town located in Haiti’s Ouest Department.
  • B. Larroquette
    Larroquette is the surname of John Larroquette, an American actor best known for his Emmy-winning role as Dan Fielding on the sitcom "Night Court."
  • C. Les Breuleux
    Les Breuleux is a small Swiss municipality and village in the Jura region, known for its watchmaking tradition and rural alpine setting.
  • D. Debourg
    Debourg is a tram terminus and transport hub in Lyon, France, serving as one end of the city’s T1 tram line.
  • 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: Colombelles
Triple: [Arrondissement of Caen, contains, Colombelles]
Generated description
Colombelles is a commune in the Calvados department of the Normandy region in northwestern France, situated near the city of Caen.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Colombelles
Target entity description: Colombelles is a commune in the Calvados department of the Normandy region in northwestern France, situated near the city of Caen.
  • A. Cornillon
    Cornillon is a commune-level town located in Haiti’s Ouest Department.
  • B. Larroquette
    Larroquette is the surname of John Larroquette, an American actor best known for his Emmy-winning role as Dan Fielding on the sitcom "Night Court."
  • C. Les Breuleux
    Les Breuleux is a small Swiss municipality and village in the Jura region, known for its watchmaking tradition and rural alpine setting.
  • D. Debourg
    Debourg is a tram terminus and transport hub in Lyon, France, serving as one end of the city’s T1 tram line.
  • 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_69c6887e8c10819091cee237560d32da completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e53132288190b6da361d9c7218ab completed March 27, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7ad7f7cac81909c13fbb60acd9a69 completed March 28, 2026, 10:29 a.m.
NEDg Description generation batch_69c7ae0bcfa4819099249fa403bed288 completed March 28, 2026, 10:31 a.m.
NED2 Entity disambiguation (via description) batch_69c7ae9f8f648190adc5cdf08bc01d93 completed March 28, 2026, 10:34 a.m.
Created at: March 27, 2026, 2:41 p.m.