Triple

T9633681
Position Surface form Disambiguated ID Type / Status
Subject BRI E232869 entity
Predicate hasDigitalPlatform P57 FINISHED
Object BRImo
BRImo is Bank Rakyat Indonesia’s mobile banking application that enables customers to perform a wide range of digital financial transactions via smartphone.
 E812251 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: BRImo | Statement: [BRI, hasDigitalPlatform, BRImo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BRImo
Context triple: [BRI, hasDigitalPlatform, BRImo]
  • A. BR2
    BR2 is a UK postcode district covering parts of Hayes and surrounding areas in the London Borough of Bromley in southeast England.
  • B. Brupass
    Brupass is an integrated public transport ticketing system that allows seamless travel across multiple operators and modes within the Brussels metropolitan area.
  • C. Bru
    Bru is an Austroasiatic language spoken by the Bru people of Laos, Vietnam, and Thailand, belonging to the Katuic branch.
  • D. Brn
    Brn is the station code used to identify Baarn railway station in the Netherlands’ rail network.
  • E. Premo
    Premo is the nickname of DJ Premier, a highly influential American hip-hop producer and DJ known for his gritty, sample-based boom-bap sound.
  • 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: BRImo
Triple: [BRI, hasDigitalPlatform, BRImo]
Generated description
BRImo is Bank Rakyat Indonesia’s mobile banking application that enables customers to perform a wide range of digital financial transactions via smartphone.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BRImo
Target entity description: BRImo is Bank Rakyat Indonesia’s mobile banking application that enables customers to perform a wide range of digital financial transactions via smartphone.
  • A. BR2
    BR2 is a UK postcode district covering parts of Hayes and surrounding areas in the London Borough of Bromley in southeast England.
  • B. Brupass
    Brupass is an integrated public transport ticketing system that allows seamless travel across multiple operators and modes within the Brussels metropolitan area.
  • C. Bru
    Bru is an Austroasiatic language spoken by the Bru people of Laos, Vietnam, and Thailand, belonging to the Katuic branch.
  • D. Brn
    Brn is the station code used to identify Baarn railway station in the Netherlands’ rail network.
  • E. Premo
    Premo is the nickname of DJ Premier, a highly influential American hip-hop producer and DJ known for his gritty, sample-based boom-bap sound.
  • 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_69ca848940cc8190b97cec654cb3bb4a completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9b28ce2c819086d3c6e4e6ea95a7 completed April 1, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18232e34c8190a19685ee9210e88b completed April 4, 2026, 9:27 p.m.
NEDg Description generation batch_69d18324756c819089eb7edc107ed8b2 completed April 4, 2026, 9:31 p.m.
NED2 Entity disambiguation (via description) batch_69d1856b88908190a787765e1d8f001f completed April 4, 2026, 9:40 p.m.
Created at: March 30, 2026, 8:11 p.m.