Triple
T6931147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KDDI |
E160435
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object |
au
au is a major Japanese mobile phone and telecommunications brand operated by KDDI Corporation.
|
E629079
|
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: au | Statement: [KDDI, brand, au]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: au Context triple: [KDDI, brand, au]
-
A.
ar
ar is a Unix utility for creating, modifying, and extracting from archive files, commonly used to build and manage static libraries.
-
B.
awa
awa is the ISO 639-3 code for Awadhi, an Indo-Aryan language spoken primarily in northern India and parts of Nepal.
-
C.
AUD
AUD is the stock ticker symbol for Audacy, Inc., a major American audio and radio broadcasting company.
-
D.
AUT
AUT is a major New Zealand university based in Auckland, known for its focus on applied research, innovation, and industry-aligned education.
-
E.
AUT
AUT is a leading Iranian engineering and technology university, widely recognized for its strong research output and rigorous academic programs.
- 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: au Triple: [KDDI, brand, au]
Generated description
au is a major Japanese mobile phone and telecommunications brand operated by KDDI Corporation.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: au Target entity description: au is a major Japanese mobile phone and telecommunications brand operated by KDDI Corporation.
-
A.
ar
ar is a Unix utility for creating, modifying, and extracting from archive files, commonly used to build and manage static libraries.
-
B.
awa
awa is the ISO 639-3 code for Awadhi, an Indo-Aryan language spoken primarily in northern India and parts of Nepal.
-
C.
AUD
AUD is the stock ticker symbol for Audacy, Inc., a major American audio and radio broadcasting company.
-
D.
AUT
AUT is a major New Zealand university based in Auckland, known for its focus on applied research, innovation, and industry-aligned education.
-
E.
AUT
AUT is a leading Iranian engineering and technology university, widely recognized for its strong research output and rigorous academic programs.
- 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.