Triple
T8362919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ola |
E197052
|
entity |
| Predicate | paymentOption |
P5428
|
FINISHED |
| Object | UPI |
E633200
|
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: UPI | Statement: [Ola, paymentOption, UPI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UPI Context triple: [Ola, paymentOption, 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.
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.
-
D.
UCE
UCE is a major public university in Quito, Ecuador, recognized as one of the country’s oldest and most important higher education institutions.
-
E.
Uni
Uni is the commonly used nickname for University High School in Los Angeles, a public high school known for its diverse student body and long history on the Westside.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca82f2dbe48190aba982e75a0d94de |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb80768b208190a5f6c9e6cb6e7f30 |
completed | March 31, 2026, 8:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cdc77cf2ac8190a1c5b618fd64da73 |
completed | April 2, 2026, 1:33 a.m. |
Created at: March 30, 2026, 6 p.m.