Triple
T2355284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kagoshima Prefecture |
E47538
|
entity |
| Predicate | knownFor |
P22
|
FINISHED |
| Object |
Kurobuta Berkshire pork
Kurobuta Berkshire pork is a premium, richly marbled Japanese pork prized for its tenderness and deep, sweet flavor.
|
E257194
|
NE FINISHED |
How this triple was built (4 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: Kurobuta Berkshire pork | Statement: [Kagoshima Prefecture, knownFor, Kurobuta Berkshire pork]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kurobuta Berkshire pork Context triple: [Kagoshima Prefecture, knownFor, Kurobuta Berkshire pork]
-
A.
Matsusaka beef
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.
Kobe beef
Kobe beef is a highly prized, richly marbled wagyu beef from Japan renowned for its exceptional tenderness and flavor.
-
C.
Ebisu
Ebisu is a fashionable Tokyo neighborhood known for its upscale dining, craft beer scene, and convenient access via Ebisu Station near Shibuya.
-
D.
Carnes
Carnes is a surname of English origin borne by various individuals and fictional characters, including Ado Annie Carnes from the musical "Oklahoma!".
-
E.
Bacon
Bacon is a common English surname historically associated with notable figures such as the philosopher and statesman Francis Bacon.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kurobuta Berkshire pork Triple: [Kagoshima Prefecture, knownFor, Kurobuta Berkshire pork]
Generated description
Kurobuta Berkshire pork is a premium, richly marbled Japanese pork prized for its tenderness and deep, sweet flavor.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kurobuta Berkshire pork Target entity description: Kurobuta Berkshire pork is a premium, richly marbled Japanese pork prized for its tenderness and deep, sweet flavor.
-
A.
Matsusaka beef
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.
Kobe beef
Kobe beef is a highly prized, richly marbled wagyu beef from Japan renowned for its exceptional tenderness and flavor.
-
C.
Ebisu
Ebisu is a fashionable Tokyo neighborhood known for its upscale dining, craft beer scene, and convenient access via Ebisu Station near Shibuya.
-
D.
Carnes
Carnes is a surname of English origin borne by various individuals and fictional characters, including Ado Annie Carnes from the musical "Oklahoma!".
-
E.
Bacon
Bacon is a common English surname historically associated with notable figures such as the philosopher and statesman Francis Bacon.
- F. None of above. chosen
Provenance (5 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_69a88a1b678c8190bce986922ba60ce0 |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abc6fd4e488190b763a1c9b5d18f2c |
completed | March 7, 2026, 6:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae963660108190b58f3288a5b3f96e |
completed | March 9, 2026, 9:43 a.m. |
| NEDg | Description generation | batch_69ae96b4b378819094853d3503a3b8b4 |
completed | March 9, 2026, 9:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae970a87a4819094e33d3b6347a9b5 |
completed | March 9, 2026, 9:46 a.m. |
Created at: March 4, 2026, 7:54 p.m.