Triple
T34799539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Italian general election, 1913 |
E1003178
|
entity |
| Predicate | seatsWonByLiberalUnion |
P20304
|
FINISHED |
| Object | 318 |
—
|
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: 318 | Statement: [Italian general election, 1913, seatsWonByLiberalUnion, 318]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seatsWonByLiberalUnion Context triple: [Italian general election, 1913, seatsWonByLiberalUnion, 318]
-
A.
seatsWonByNational Union
Indicates the number of legislative or electoral seats that were won by the National Union in a given election or contest.
-
B.
UnionistSeatsWon
Indicates the number of legislative or electoral seats that were won by unionist-affiliated parties or candidates.
-
C.
LiberalSeatsWon
chosen
Indicates the number of parliamentary or legislative seats won by the Liberal party in an election.
-
D.
seatsWonBySDPLiberalAlliance
Indicates the number of legislative or electoral seats that were won by the SDP–Liberal Alliance in a given election or contest.
-
E.
UnionistPopularVoteShare
Indicates the proportion of the total popular vote that was received by unionist parties or candidates in a given election or political 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_69f76db543808190b188c6c86a91491b |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f77a886ac48190a82b0a71a2092028 |
completed | May 3, 2026, 4:40 p.m. |
| PD | Predicate disambiguation | batch_69f7795b1abc8190823664d1caa94649 |
completed | May 3, 2026, 4:35 p.m. |
Created at: May 3, 2026, 3:59 p.m.