Triple
T35379359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EDD |
E1022601
|
entity |
| Predicate | numberOfMEPsAtFormation |
P31812
|
FINISHED |
| Object | approximately 16 |
—
|
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: approximately 16 | Statement: [EDD, numberOfMEPsAtFormation, approximately 16]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfMEPsAtFormation Context triple: [EDD, numberOfMEPsAtFormation, approximately 16]
-
A.
numberOfMEPsVariesWith
Indicates that the number of Members of the European Parliament (MEPs) associated with one entity changes as a function of, or in correlation with, another entity or factor.
-
B.
numberOfMEPsWonIn2019EuropeanElection
Indicates the number of Members of the European Parliament that an entity secured in the 2019 European Parliament election.
-
C.
numberOfElectedMembers
chosen
Indicates the total count of individuals who have been formally chosen through an election to serve as members of a given body or group.
-
D.
EUMemberSince
Indicates the point in time from which an entity has been a member of the European Union.
-
E.
hasNumberOfMPs
Indicates the relationship that specifies how many members of parliament (MPs) are associated with a given entity.
- 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_69f76df28d8c819089f2c5799fe7d079 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0324d08190ac5b610cc0f6a38c |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:03 p.m.