Triple
T6931182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KDDI |
E160435
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | KDDI |
E160435
|
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: KDDI | Statement: [KDDI, shortName, KDDI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KDDI Context triple: [KDDI, shortName, KDDI]
-
A.
KDDI
chosen
KDDI is a major Japanese telecommunications company that provides mobile, broadband, and other communication services domestically and internationally.
-
B.
NTT DoCoMo
NTT DoCoMo is Japan’s largest mobile network operator, known for pioneering advanced mobile technologies and services, including early 3G deployments.
-
C.
Sprint Corporation
Sprint Corporation was a major American telecommunications company that provided wireless and wireline services nationwide before merging with T-Mobile US.
-
D.
Pacific Bell
Pacific Bell was a major regional telephone company in the western United States, best known as a former Baby Bell providing local and long-distance telecommunications services.
-
E.
AT&T
AT&T is a major American telecommunications conglomerate known for providing wireless, internet, and media services nationwide.
- 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_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_69c769fa17748190a1ca72ca86cce827 |
completed | March 28, 2026, 5:41 a.m. |
Created at: March 27, 2026, 2:27 p.m.