Triple
T5401331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KUKA |
E120783
|
entity |
| Predicate | acquiredBy |
P347
|
FINISHED |
| Object | Midea Group |
E517403
|
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: Midea Group | Statement: [KUKA, acquiredBy, Midea Group]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Midea Group Context triple: [KUKA, acquiredBy, Midea Group]
-
A.
Midea Group
chosen
Midea Group is a major Chinese multinational home appliance and robotics manufacturer known for its extensive range of consumer electronics and industrial automation products.
-
B.
Midea
Midea is an important archaeological site in Greece that was a fortified citadel of the Mycenaean civilization.
-
C.
TCL Corporation
TCL Corporation is a major Chinese electronics company best known globally for manufacturing televisions and other consumer electronics.
-
D.
Mitsubishi Electric
Mitsubishi Electric is a global Japanese electronics and electrical equipment manufacturer known for producing advanced technologies ranging from factory automation systems and power equipment to large-scale display and video board solutions.
-
E.
Marui Group
Marui Group is a Japanese retail and financial services company best known for operating fashion-oriented department stores and providing credit card and related consumer finance services.
- 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_69bd46391c0c81909fa484446732b6a3 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd8771b25c819080da247bc3164cd9 |
completed | March 20, 2026, 5:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf3a9e104881908d6012c87f30061b |
completed | March 22, 2026, 12:41 a.m. |
Created at: March 20, 2026, 2:04 p.m.