Triple

T5074179
Position Surface form Disambiguated ID Type / Status
Subject Lille Metro E114351 entity
Predicate operator P179 FINISHED
Object Ilévia
Ilévia is the public transport operator responsible for managing and running the urban transit network in and around Lille, France.
 E491647 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: Ilévia | Statement: [Lille Metro, operator, Ilévia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ilévia
Context triple: [Lille Metro, operator, Ilévia]
  • A. Miravalle
    Miravalle is a neighborhood located within the Benito Juárez borough of Mexico City, known for its residential character and urban amenities.
  • B. Aleria
    Aleria is an ancient coastal town on the eastern side of Corsica, France, known for its significant Roman archaeological site and historical importance.
  • C. Arona
    Arona is a town in northern Italy on the shores of Lake Maggiore, known for its historic architecture and as the birthplace of Saint Charles Borromeo.
  • D. Arona
    Arona is a coastal tourist municipality in southern Tenerife, Spain, known for its popular beach resorts such as Los Cristianos and Playa de las Américas.
  • E. Èze
    Èze is a picturesque medieval hilltop village on the French Riviera, famed for its stunning views over the Mediterranean and its charming narrow streets.
  • 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: Ilévia
Triple: [Lille Metro, operator, Ilévia]
Generated description
Ilévia is the public transport operator responsible for managing and running the urban transit network in and around Lille, France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ilévia
Target entity description: Ilévia is the public transport operator responsible for managing and running the urban transit network in and around Lille, France.
  • A. Miravalle
    Miravalle is a neighborhood located within the Benito Juárez borough of Mexico City, known for its residential character and urban amenities.
  • B. Aleria
    Aleria is an ancient coastal town on the eastern side of Corsica, France, known for its significant Roman archaeological site and historical importance.
  • C. Arona
    Arona is a town in northern Italy on the shores of Lake Maggiore, known for its historic architecture and as the birthplace of Saint Charles Borromeo.
  • D. Arona
    Arona is a coastal tourist municipality in southern Tenerife, Spain, known for its popular beach resorts such as Los Cristianos and Playa de las Américas.
  • E. Èze
    Èze is a picturesque medieval hilltop village on the French Riviera, famed for its stunning views over the Mediterranean and its charming narrow streets.
  • 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_69bd443cf28c8190ad371d603563dbdd completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd74d0be1c819081b26235fe602a30 completed March 20, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69beb11b3f3c819089f09178f17940c5 completed March 21, 2026, 2:54 p.m.
NEDg Description generation batch_69beb1a445f48190b3318d816830e1a6 completed March 21, 2026, 2:56 p.m.
NED2 Entity disambiguation (via description) batch_69beb23f789c8190811ee9e43327196c completed March 21, 2026, 2:59 p.m.
Created at: March 20, 2026, 1:39 p.m.