Triple

T29008873
Position Surface form Disambiguated ID Type / Status
Subject 2007 Nagorno-Karabakh presidential election E736508 entity
Predicate runnerUpVotePercentage P160990 FINISHED
Object approximately 12% 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: approximately 12% | Statement: [2007 Nagorno-Karabakh presidential election, runnerUpVotePercentage, approximately 12%]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: runnerUpVotePercentage
Context triple: [2007 Nagorno-Karabakh presidential election, runnerUpVotePercentage, approximately 12%]
  • A. runnerUpVoteSharePercentage chosen
    Indicates the percentage of total votes received by the candidate or option that finished in second place.
  • B. secondRoundRunnerUpVoteSharePercentage
    Indicates the percentage of total votes received by the candidate who finished as runner-up in the second round of a contest or election.
  • C. popularVoteRunnerUp
    Indicates that one entity is the candidate who received the second-highest number of votes in a popular vote for the other entity’s election or contest.
  • D. opponentPopularVotePercentage
    Indicates the percentage of the total popular vote received by the opposing candidate or party in an election.
  • E. popularVoteRunnerUpVotes
    Indicates the number of votes received by the candidate who finished second in the popular vote of 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_69f077eb81e88190ad9ff62cbb9f555e completed April 28, 2026, 9:03 a.m.
NER Named-entity recognition batch_69f6691f5e188190b12c7b2eb729a45e completed May 2, 2026, 9:14 p.m.
PD Predicate disambiguation batch_69f6659b62fc8190b21555d0ba54db2d completed May 2, 2026, 8:59 p.m.
Created at: April 28, 2026, 9:40 a.m.