Triple

T28453031
Position Surface form Disambiguated ID Type / Status
Subject Sistema Único de Boleto Electrónico E716629 entity
Predicate nameMeaning P453 FINISHED
Object Single Electronic Ticket System
Single Electronic Ticket System is an integrated electronic fare collection platform used to unify and manage public transportation ticketing across multiple services and operators.
 E1818437 NE FINISHED

How this triple was built (2 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: Single Electronic Ticket System | Statement: [Sistema Único de Boleto Electrónico, nameMeaning, Single Electronic Ticket System]
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: Single Electronic Ticket System
Triple: [Sistema Único de Boleto Electrónico, nameMeaning, Single Electronic Ticket System]
Generated description
Single Electronic Ticket System is an integrated electronic fare collection platform used to unify and manage public transportation ticketing across multiple services and operators.

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_69efd6b76f8c8190a7ba908aca280942 completed April 27, 2026, 9:35 p.m.
NER Named-entity recognition batch_69f64e73b2408190a7e35048af465d57 completed May 2, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_6a16418b76748190a3f56aeb6b39eb7b completed May 27, 2026, 12:57 a.m.
NEDg Description generation batch_6a1641ea230081909386490abb2dfef9 completed May 27, 2026, 12:59 a.m.
NED2 Entity disambiguation (via description) batch_6a1642cb54248190a5245bbf55464025 completed May 27, 2026, 1:03 a.m.
Created at: April 28, 2026, 1:52 a.m.