Triple
T32003068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tokaji Aszú |
E817184
|
entity |
| Predicate | minimumPuttonyosLevel |
P65817
|
FINISHED |
| Object | 5 puttonyos (modern regulations) |
—
|
LITERAL 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: 5 puttonyos (modern regulations) | Statement: [Tokaji Aszú, minimumPuttonyosLevel, 5 puttonyos (modern regulations)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: minimumPuttonyosLevel Context triple: [Tokaji Aszú, minimumPuttonyosLevel, 5 puttonyos (modern regulations)]
-
A.
intendedPlayerLevel
Indicates the player level for which something (such as content, an item, or a challenge) is designed or meant to be used.
-
B.
minimumLevel
chosen
Indicates that one entity specifies the lowest allowable or required level, degree, or threshold at which another entity, condition, or action becomes valid or applicable.
-
C.
minimumBottlingStrength
Indicates the lowest alcohol strength at which a beverage is allowed or intended to be bottled.
-
D.
minimumGrant
Indicates that there is a lowest allowable or required amount of a grant associated with an entity or agreement.
-
E.
minimumPayoutThreshold
Indicates the lowest payout amount or value that must be reached before a payment or disbursement is triggered.
- 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_69f348f8ce388190ae84376b1f348f12 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6f38159d08190980ad639e08f00f4 |
completed | May 3, 2026, 7:04 a.m. |
| PD | Predicate disambiguation | batch_69f6e3d7bee48190b94e0beb48a1d7fa |
completed | May 3, 2026, 5:57 a.m. |
Created at: May 1, 2026, 12:14 a.m.