Triple
T38552908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Italian general election, 1994 |
E925159
|
entity |
| Predicate | percentageOfSeatsAllocatedByFPTP |
P190898
|
FINISHED |
| Object | 75% |
—
|
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: 75% | Statement: [Italian general election, 1994, percentageOfSeatsAllocatedByFPTP, 75%]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: percentageOfSeatsAllocatedByFPTP Context triple: [Italian general election, 1994, percentageOfSeatsAllocatedByFPTP, 75%]
-
A.
numberOfFPTPSeats
Indicates the number of seats obtained or allocated through a first-past-the-post (FPTP) electoral system.
-
B.
proportionalRepresentationSeats
Indicates that the number of seats allocated to an entity is determined according to a proportional representation system based on its share of votes or support.
-
C.
numberOfSeatsWon
Indicates the quantity of seats secured by an entity (such as a party or candidate) in an election or representative body.
-
D.
parliamentarySeats
Indicates the number of seats a party, group, or representative holds in a parliamentary body.
-
E.
electoralSystem_constituencySeats
Indicates the number or allocation of constituency-based seats defined within a given electoral 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_69f76eaeb69c8190b367df9330d6f6af |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcd34596288190b8e34a7a20b4c0db |
completed | May 7, 2026, 6 p.m. |
| PD | Predicate disambiguation | batch_69fcd1f81cbc8190b4fd3bfc3106c1f3 |
completed | May 7, 2026, 5:55 p.m. |
| PDg | Predicate description generation | batch_69fcd2e2f00081908b8c820fc073a63c |
completed | May 7, 2026, 5:58 p.m. |
Created at: May 3, 2026, 4:32 p.m.