Triple
T18034233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dublin (European Parliament constituency) |
E431465
|
entity |
| Predicate | numberOfMEPs |
P31812
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Dublin (European Parliament constituency), numberOfMEPs, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfMEPs Context triple: [Dublin (European Parliament constituency), numberOfMEPs, 3]
-
A.
numberOfMEPsWonIn2019EuropeanElection
Indicates the number of Members of the European Parliament that an entity secured in the 2019 European Parliament election.
-
B.
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.
-
C.
hasNumberOfMPs
Indicates the relationship that specifies how many members of parliament (MPs) are associated with a given entity.
-
D.
electedMembers
Indicates that certain individuals have been chosen through an election process to serve as members of a specific body or organization.
-
E.
numberOfMandates
Indicates the total count of mandates, terms, or official assignments associated with an entity in a given context.
- 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_69d8b9050fb48190890155145deb0a66 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4be38766c8190ae95701f4575469c |
completed | April 19, 2026, 11:36 a.m. |
| PD | Predicate disambiguation | batch_69e3f908da508190a088aa837ea5b7af |
completed | April 18, 2026, 9:35 p.m. |
Created at: April 10, 2026, 10:25 a.m.