Triple
T33206419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matsushita Electric Industrial Co., Ltd. |
E850022
|
entity |
| Predicate | hasMainTradeName |
P24555
|
FINISHED |
| Object | Panasonic |
—
|
NE NERFINISHED |
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: Panasonic | Statement: [Matsushita Electric Industrial Co., Ltd., hasMainTradeName, Panasonic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMainTradeName Context triple: [Matsushita Electric Industrial Co., Ltd., hasMainTradeName, Panasonic]
-
A.
hasTradeName
chosen
Indicates that a product, substance, or entity is known or marketed under a specific commercial or brand name.
-
B.
isTradeNameOf
Indicates that one name is a commercial or brand designation used for a product, substance, or entity that may also have a different generic or formal name.
-
C.
hasOfficialNameContaining
Indicates that an entity’s official name includes a specified substring or sequence of characters.
-
D.
hasCivilBrandName
Indicates that an entity is associated with a commercial or civilian brand name under which it is publicly known or marketed.
-
E.
tradeNameIncludes
Indicates that a trade name contains another name or term as part of its full designation.
- 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_69f3495fb92c819083ce65d0ddee7a76 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a00cbae75988190974f5b45a2e62326 |
completed | May 10, 2026, 6:17 p.m. |
| PD | Predicate disambiguation | batch_6a00cabe4c5881909cca5efbe494e0d1 |
completed | May 10, 2026, 6:13 p.m. |
Created at: May 1, 2026, 1:30 a.m.