Triple
T13218426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Union for Europe of the Nations |
E314683
|
entity |
| Predicate | numberOfMEPsAtPeak |
P82981
|
FINISHED |
| Object | 30 |
—
|
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: 30 | Statement: [Union for Europe of the Nations, numberOfMEPsAtPeak, 30]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfMEPsAtPeak Context triple: [Union for Europe of the Nations, numberOfMEPsAtPeak, 30]
-
A.
numberOfMEPsWonIn2019EuropeanElection
Indicates the number of Members of the European Parliament that an entity secured in the 2019 European Parliament election.
-
B.
numberOfSeatsInHouseOfRepresentativesPeak
Indicates the highest recorded number of seats held in the House of Representatives at any point in time.
-
C.
numberOfElectedMembers
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.
hasNumberOfMPs
chosen
Indicates the relationship that specifies how many members of parliament (MPs) are associated with a given entity.
-
E.
numberOfParliaments
Indicates the count of distinct parliaments associated with or relevant to 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_69d806affc688190a25b6ccc588e9c72 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf392e08190949ee4d194566395 |
completed | April 10, 2026, 11:51 p.m. |
| PD | Predicate disambiguation | batch_69d98bc938f081909f123bdf1263ff7f |
completed | April 10, 2026, 11:46 p.m. |
Created at: April 9, 2026, 9:18 p.m.