Triple
T15240940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EuroMillions |
E364251
|
entity |
| Predicate | numberPool |
P117704
|
FINISHED |
| Object | 1–50 |
—
|
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: 1–50 | Statement: [EuroMillions, numberPool, 1–50]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberPool Context triple: [EuroMillions, numberPool, 1–50]
-
A.
serviceNumbering
Indicates that a specific service is assigned or associated with a particular identifying number or code.
-
B.
numberWithinSession
Indicates the ordinal position or index that something occupies within a given session.
-
C.
previouslyUsedNumberDesignationsUntil
Indicates that certain number designations were used for an entity up until a specified point in time, after which they were no longer in use.
-
D.
sampleNumber
Indicates that an entity is identified or associated with a specific sample number within a set of samples.
-
E.
numberOfPools
Indicates the total count of pools associated with or contained by a given entity.
- 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.