Triple
T29904390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | magic formula (Swiss party power-sharing) |
E759495
|
entity |
| Predicate | totalSeatsCovered |
P176014
|
FINISHED |
| Object | 7 |
—
|
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: 7 | Statement: [magic formula (Swiss party power-sharing), totalSeatsCovered, 7]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: totalSeatsCovered Context triple: [magic formula (Swiss party power-sharing), totalSeatsCovered, 7]
-
A.
currentNumberOfSeats
Indicates the present total count of seats associated with an entity or context.
-
B.
numberOfMembersSeated
Indicates the count of members who are currently seated in a given context or setting.
-
C.
individualSeats
Indicates that an entity provides or consists of separate, single-person seating positions rather than shared or bench-style seating.
-
D.
totalSeatsFixedSince
Indicates the point in time since which the total number of seats has remained fixed and unchanged.
-
E.
numberOfListSeats
Indicates the total count of seats allocated from a party or group list within a representative body or election system.
- 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_69f224600590819085e148a01c056ef6 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f6db3606808190a80c6e9f5da5b33e |
completed | May 3, 2026, 5:20 a.m. |
| PD | Predicate disambiguation | batch_69f6d82adfa481908a5e196d2e18c73f |
completed | May 3, 2026, 5:07 a.m. |
| PDg | Predicate description generation | batch_69f6db1bc348819097c844f76e2fa4fe |
completed | May 3, 2026, 5:20 a.m. |
Created at: April 29, 2026, 6:07 p.m.