Triple

T21971424
Position Surface form Disambiguated ID Type / Status
Subject UPI E542598 entity
Predicate shortName P43 FINISHED
Object UPI NE NERFINISHED

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: UPI | Statement: [UPI, shortName, UPI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UPI
Context triple: [UPI, shortName, UPI]
  • A. UPI
    UPI is an Indonesian public university in Bandung renowned for its focus on teacher education and educational sciences.
  • B. UPI chosen
    UPI is an instant real-time payment system developed in India that enables seamless, interoperable bank-to-bank transfers via mobile devices.
  • C. UPI
    UPI (United Press International) is a major international news agency that provides news reports, photos, and other media content to outlets around the world.
  • D. UPS
    UPS (United Parcel Service) is a global package delivery and supply chain management company known for its extensive logistics network and brown delivery trucks.
  • E. UCE
    UCE is a major public university in Quito, Ecuador, recognized as one of the country’s oldest and most important higher education institutions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c48070988190909db97667b9a0ac completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f12484b83081908c08e3285e0b14a9 completed April 28, 2026, 9:20 p.m.
Created at: April 16, 2026, 8:02 p.m.