Triple
T12910176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Makó |
E308838
|
entity |
| Predicate | renownedFor |
P22
|
FINISHED |
| Object |
Makó onion
The Makó onion is a traditional Hungarian onion variety celebrated for its exceptional flavor, storability, and importance in regional cuisine and agriculture.
|
E1009821
|
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: Makó onion | Statement: [Makó, renownedFor, Makó onion]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Makó onion Context triple: [Makó, renownedFor, Makó onion]
-
A.
Vidalia onions
Vidalia onions are a famously sweet, mild variety of onion grown in a specific region of Georgia and protected by name under U.S. law.
-
B.
Awaji onions
Awaji onions are a renowned variety of sweet, mild onions cultivated on Japan’s Awaji Island, prized for their flavor and often used in premium Japanese cuisine.
-
C.
Onions
Onions is an English surname most notably associated with Charles Talbut Onions, a prominent lexicographer and editor of the Oxford English Dictionary.
-
D.
Onnion
Onnion is a small commune in the Haute-Savoie department of southeastern France, situated in the French Alps.
-
E.
Mangold
Mangold is a surname most notably associated with former American football center Nick Mangold of the New York Jets.
- 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: Makó onion Triple: [Makó, renownedFor, Makó onion]
Generated description
The Makó onion is a traditional Hungarian onion variety celebrated for its exceptional flavor, storability, and importance in regional cuisine and agriculture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Makó onion Target entity description: The Makó onion is a traditional Hungarian onion variety celebrated for its exceptional flavor, storability, and importance in regional cuisine and agriculture.
-
A.
Vidalia onions
Vidalia onions are a famously sweet, mild variety of onion grown in a specific region of Georgia and protected by name under U.S. law.
-
B.
Awaji onions
Awaji onions are a renowned variety of sweet, mild onions cultivated on Japan’s Awaji Island, prized for their flavor and often used in premium Japanese cuisine.
-
C.
Onions
Onions is an English surname most notably associated with Charles Talbut Onions, a prominent lexicographer and editor of the Oxford English Dictionary.
-
D.
Onnion
Onnion is a small commune in the Haute-Savoie department of southeastern France, situated in the French Alps.
-
E.
Mangold
Mangold is a surname most notably associated with former American football center Nick Mangold of the New York Jets.
- 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_69d7bdf92b588190acdf2a2291ac4590 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9719e584c81909be1ac1366effca0 |
completed | April 10, 2026, 9:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6a56b50b48190a0deefd491ed8c4a |
completed | May 3, 2026, 1:31 a.m. |
| NEDg | Description generation | batch_69f6a6db731c819091b96c4ed6a50f19 |
completed | May 3, 2026, 1:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6a8a31264819082c1ce67eaa529cc |
completed | May 3, 2026, 1:45 a.m. |
Created at: April 9, 2026, 5:41 p.m.