Triple
T16408825
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matsusaka |
E398504
|
entity |
| Predicate | hasProduct |
P3585
|
FINISHED |
| Object | Matsusaka beef |
E181523
|
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: Matsusaka beef | Statement: [Matsusaka, hasProduct, Matsusaka beef]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matsusaka beef Context triple: [Matsusaka, hasProduct, Matsusaka beef]
-
A.
Matsusaka beef
chosen
Matsusaka beef is a highly prized, richly marbled wagyu beef from Japan, renowned as one of the country's most luxurious and tender varieties of beef.
-
B.
Miyazaki beef
Miyazaki beef is a highly prized Japanese wagyu renowned for its exceptional marbling, tenderness, and rich flavor, often considered among the finest beef in the world.
-
C.
Yonezawa beef
Yonezawa beef is a highly prized wagyu brand from Yonezawa in Yamagata Prefecture, renowned in Japan for its exceptional marbling, tenderness, and rich flavor.
-
D.
Tajima beef
Tajima beef is a premium, highly marbled wagyu beef from Hyōgo Prefecture in Japan, renowned as the genetic source of famous brands like Kobe beef.
-
E.
Awaji beef
Awaji beef is a premium, richly marbled wagyu beef from Japan’s Awaji Island, prized for its tenderness and deep flavor.
- 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_69d87f2950248190bc8ad9b9bebdc8c8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32870e44c8190aae7bc6e6022ceb7 |
completed | April 18, 2026, 6:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00457d9f4081908a5f28eeafc44695 |
completed | May 10, 2026, 8:44 a.m. |
Created at: April 10, 2026, 5:09 a.m.