Triple
T6931148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KDDI |
E160435
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object |
UQ mobile
UQ mobile is a Japanese mobile virtual network operator offering affordable smartphone and data services, operated under KDDI.
|
E629080
|
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: UQ mobile | Statement: [KDDI, brand, UQ mobile]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UQ mobile Context triple: [KDDI, brand, UQ mobile]
-
A.
UQ
UQ is the abbreviation for the Université du Québec, a public university system comprising multiple institutions across the province of Quebec, Canada.
-
B.
Qantas mobile app
The Qantas mobile app is Qantas Airways’ official smartphone application that allows customers to search and book flights, manage bookings, check in, and access digital boarding passes and frequent flyer details.
-
C.
CQU
CQU is the station code for Circular Quay railway station on Sydney's suburban rail network.
-
D.
UniMi
UniMi is the commonly used abbreviation for the University of Milan, a major public research university in Milan, Italy.
-
E.
Sky Mobile
Sky Mobile is a British mobile virtual network operator offering phone contracts, SIM-only plans, and data services under the Sky brand in the UK and Ireland.
- 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: UQ mobile Triple: [KDDI, brand, UQ mobile]
Generated description
UQ mobile is a Japanese mobile virtual network operator offering affordable smartphone and data services, operated under KDDI.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: UQ mobile Target entity description: UQ mobile is a Japanese mobile virtual network operator offering affordable smartphone and data services, operated under KDDI.
-
A.
UQ
UQ is the abbreviation for the Université du Québec, a public university system comprising multiple institutions across the province of Quebec, Canada.
-
B.
Qantas mobile app
The Qantas mobile app is Qantas Airways’ official smartphone application that allows customers to search and book flights, manage bookings, check in, and access digital boarding passes and frequent flyer details.
-
C.
CQU
CQU is the station code for Circular Quay railway station on Sydney's suburban rail network.
-
D.
UniMi
UniMi is the commonly used abbreviation for the University of Milan, a major public research university in Milan, Italy.
-
E.
Sky Mobile
Sky Mobile is a British mobile virtual network operator offering phone contracts, SIM-only plans, and data services under the Sky brand in the UK and Ireland.
- 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_69c6884e15208190b9e91487eaafcf85 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6da3e58f08190857c14f538448039 |
completed | March 27, 2026, 7:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7514b0dd8819097a3fa1a38c913f4 |
completed | March 28, 2026, 3:55 a.m. |
| NEDg | Description generation | batch_69c75280eaa4819089b5e76a817b1330 |
completed | March 28, 2026, 4:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c75306e62c8190ba2f4db741bd1ff9 |
completed | March 28, 2026, 4:03 a.m. |
Created at: March 27, 2026, 2:27 p.m.