Triple

T13775120
Position Surface form Disambiguated ID Type / Status
Subject German federal election, 1928 E330984 entity
Predicate thirdLargestPartyVoteSharePercentage P29081 FINISHED
Object 12.1 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: 12.1 | Statement: [German federal election, 1928, thirdLargestPartyVoteSharePercentage, 12.1]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: thirdLargestPartyVoteSharePercentage
Context triple: [German federal election, 1928, thirdLargestPartyVoteSharePercentage, 12.1]
  • A. thirdLargestPartySeats
    Indicates the number of seats held by the third-largest political party in a given legislative body or election outcome.
  • B. thirdLargestPartyBySeats
    Indicates that the subject is the political party holding the third-highest number of seats in a specified legislative body or election context.
  • C. thirdPlaceVoteShare
    Indicates the proportion of total votes received by the candidate or option that finished in third place in an election or contest.
  • D. fourthLargestParty
    Indicates that the subject is the political party that ranks fourth in size or representation within a specified political system or election context.
  • E. popularVoteShareThird chosen
    Indicates the proportion of total popular votes received by the third-place candidate or option in an election.
  • 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_69d81c583b0081909e408a17db517a21 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0238bdbc8190a946e6e5431632a5 completed April 14, 2026, 9 a.m.
PD Predicate disambiguation batch_69dbbe97846c819093b00ea117b64e0d completed April 12, 2026, 3:47 p.m.
Created at: April 9, 2026, 10:10 p.m.