Triple
T11841068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yodobashi Camera Co., Ltd. |
E281651
|
entity |
| Predicate | competitor |
P1375
|
FINISHED |
| Object | Joshin Denki |
E949132
|
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: Joshin Denki | Statement: [Yodobashi Camera Co., Ltd., competitor, Joshin Denki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joshin Denki Context triple: [Yodobashi Camera Co., Ltd., competitor, Joshin Denki]
-
A.
Tokyo Denki
Tokyo Denki was a Japanese electrical company that became a predecessor of the modern electronics conglomerate Toshiba.
-
B.
Yamada Denki
chosen
Yamada Denki is one of Japan’s largest consumer electronics retail chains, operating big-box stores nationwide that sell home appliances, computers, and digital devices.
-
C.
Nikken Sekkei
Nikken Sekkei is a major Japanese architectural and engineering firm renowned for designing prominent large-scale projects and urban landmarks worldwide.
-
D.
Yoshimoto Kogyo
Yoshimoto Kogyo is a major Japanese entertainment conglomerate best known for managing comedians and producing comedy shows, theater, television, and other media.
-
E.
Obayashi Corporation
Obayashi Corporation is a major Japanese construction and engineering company known for its involvement in large-scale infrastructure and building projects worldwide.
- 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_69d6ab276f8c8190b1966a0ef11349ac |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a658f918819092c2db05fe2ab0ce |
completed | April 10, 2026, 7:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f2814210e48190821fca390dc7e312 |
completed | April 29, 2026, 10:08 p.m. |
Created at: April 8, 2026, 9:43 p.m.