Triple

T5074218
Position Surface form Disambiguated ID Type / Status
Subject Lille Metro E114351 entity
Predicate fareBrand P61256 FINISHED
Object Ilévia E491647 NE FINISHED

How this triple was built (3 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, fareBrand, Ilévia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ilévia
Context triple: [Lille Metro, fareBrand, Ilévia]
  • A. Ilévia chosen
    Ilévia is the public transport operator responsible for managing and running the urban transit network in and around Lille, France.
  • B. Miravalle
    Miravalle is a neighborhood located within the Benito Juárez borough of Mexico City, known for its residential character and urban amenities.
  • C. Aleria
    Aleria is an ancient coastal town on the eastern side of Corsica, France, known for its significant Roman archaeological site and historical importance.
  • D. 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.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: fareBrand
Context triple: [Lille Metro, fareBrand, Ilévia]
  • A. formerBrand
    Indicates that an entity was previously used or recognized as a brand for another entity but is no longer its current brand.
  • B. usedBrand
    Indicates that an entity has utilized, applied, or operated a particular brand in some context.
  • C. parentBrand
    Indicates that one brand is the overarching or owning brand from which another brand is derived or subordinated.
  • D. fareModel
    Indicates a pricing relationship where a specific fare structure, rule set, or calculation method is applied to determine the cost of a trip or service.
  • E. airlineBrand
    Indicates that one entity functions as the commercial airline brand associated with, or operating under, another entity.
  • 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_69beba689ee081909a6bb75c6da07db5 completed March 21, 2026, 3:34 p.m.
PD Predicate disambiguation batch_69bd7157fe608190b4515d56fdd0a616 completed March 20, 2026, 4:10 p.m.
PDg Predicate description generation batch_69bd73d90b608190bd6c2407e84e2b64 completed March 20, 2026, 4:20 p.m.
Created at: March 20, 2026, 1:39 p.m.