Triple
T33105734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 日亜化学工業株式会社 |
E847184
|
entity |
| Predicate | 市場 |
P1743
|
FINISHED |
| Object | 照明用LED市場 |
—
|
LITERAL 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: 照明用LED市場 | Statement: [日亜化学工業株式会社, 市場, 照明用LED市場]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 市場 Context triple: [日亜化学工業株式会社, 市場, 照明用LED市場]
-
A.
market
chosen
Indicates the act of promoting, advertising, or selling a product, service, or idea to potential buyers or target audiences.
-
B.
business
Indicates that an entity is engaged in commercial or professional activities, such as providing goods or services for profit.
-
C.
stocks
Indicates that one entity keeps or maintains a supply of another entity available for use or sale.
-
D.
financialMarket
Indicates a relationship where economic instruments, assets, or securities are traded or exchanged within an organized financial system or venue.
-
E.
tradeFocus
Indicates a primary emphasis on or specialization in a particular type of trade, transaction, or commercial activity within the relationship or context.
- F. None of above.
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_69f3495686508190b76bf20fa5e00bf7 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d6e69e388190b2d3e90b11277232 |
completed | May 3, 2026, 5:02 a.m. |
| PD | Predicate disambiguation | batch_69f6d27120988190aacec621cf2bf0e8 |
completed | May 3, 2026, 4:43 a.m. |
Created at: May 1, 2026, 1:26 a.m.