Triple
T12853228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | N700A series |
E307377
|
entity |
| Predicate | manufacturer |
P490
|
FINISHED |
| Object | Hitachi |
E232184
|
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: Hitachi | Statement: [N700A series, manufacturer, Hitachi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hitachi Context triple: [N700A series, manufacturer, Hitachi]
-
A.
Hitachi
chosen
Hitachi is a Japanese multinational conglomerate known for its wide range of businesses spanning information technology, infrastructure, industrial systems, and consumer electronics.
-
B.
Toshiba
Toshiba is a major Japanese multinational conglomerate known for its electronics, semiconductors, and information technology products and services.
-
C.
Matsushita Electric Industrial Co.
Matsushita Electric Industrial Co., better known globally by its brand name Panasonic, is a major Japanese multinational electronics manufacturer and technology company.
-
D.
Sanyo
Sanyo is a Japanese electronics brand known for producing a wide range of consumer and industrial electronic products, including televisions, batteries, and home appliances.
-
E.
Fujitsu General
Fujitsu General is a Japanese electronics company best known globally for manufacturing air conditioning and climate control systems.
- 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_69d7bdf5e7cc8190be357278bc5ba3bb |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97021df7481909cd42a0f72040aa5 |
completed | April 10, 2026, 9:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f69ba79918819093e047ce22191923 |
completed | May 3, 2026, 12:49 a.m. |
Created at: April 9, 2026, 5:36 p.m.