Triple
T15240944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EuroMillions |
E364251
|
entity |
| Predicate | minimumJackpot |
P117707
|
FINISHED |
| Object | 17000000 EUR |
—
|
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: 17000000 EUR | Statement: [EuroMillions, minimumJackpot, 17000000 EUR]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: minimumJackpot Context triple: [EuroMillions, minimumJackpot, 17000000 EUR]
-
A.
minimumDenomination
Indicates that one entity specifies the smallest allowable unit or value (minimum denomination) in which another entity can be expressed, transacted, or divided.
-
B.
minimumPayoutThreshold
Indicates the lowest payout amount or value that must be reached before a payment or disbursement is triggered.
-
C.
minimumNumber
Indicates that the associated value is the smallest or least quantity allowed, required, or observed within a given set or context.
-
D.
minimumGrant
Indicates that there is a lowest allowable or required amount of a grant associated with an entity or agreement.
-
E.
lowestScore
Indicates that the associated value is the smallest (minimum) score among a set of scores.
- F. None of above. chosen
Provenance (4 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_69d85a0dde7481908fc64d1e82d5d20d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e007db9a148190aadea8d5f8b6b261 |
completed | April 15, 2026, 9:49 p.m. |
| PD | Predicate disambiguation | batch_69deca899d5c8190be4a7c71e1683c69 |
completed | April 14, 2026, 11:15 p.m. |
| PDg | Predicate description generation | batch_69decf2ca6148190967c319728ec3661 |
completed | April 14, 2026, 11:35 p.m. |
Created at: April 10, 2026, 3:13 a.m.