Triple

T28256905
Position Surface form Disambiguated ID Type / Status
Subject French presidential election, 2012 E712472 entity
Predicate defeatedIncumbent P354 FINISHED
Object Nicolas Sarkozy NE NERFINISHED

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: Nicolas Sarkozy | Statement: [French presidential election, 2012, defeatedIncumbent, Nicolas Sarkozy]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: defeatedIncumbent
Context triple: [French presidential election, 2012, defeatedIncumbent, Nicolas Sarkozy]
  • A. defeatedIncumbentParty
    Indicates that a political party won an election by defeating the party that previously held power or office.
  • B. defeatedCandidate chosen
    Indicates that one candidate has won an election or contest against another candidate, causing the other to lose.
  • C. backedIncumbent
    Indicates that a person or organization provided support to the current officeholder or existing position-holder, typically in a political or competitive context.
  • D. incumbentOutcome
    Indicates the result or consequence experienced by the current officeholder or position-holder in a given event or context.
  • E. incumbentAfterElection
    Indicates that an entity holds a position or office as the sitting incumbent following a specified 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_69efb5207eb08190827e4c34048030b1 completed April 27, 2026, 7:12 p.m.
NER Named-entity recognition batch_69f643f5ccc08190952ae7cacae323d1 completed May 2, 2026, 6:35 p.m.
PD Predicate disambiguation batch_69f641e0fde08190bf06a1c5b388aa84 completed May 2, 2026, 6:26 p.m.
Created at: April 27, 2026, 11:08 p.m.